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Upload model

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  2. model.safetensors +3 -0
config.json ADDED
@@ -0,0 +1,1225 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "EdgeTamVideoModel"
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+ ],
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+ "dtype": "float32",
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+ "enable_occlusion_spatial_embedding": false,
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+ "enable_temporal_pos_encoding_for_object_pointers": false,
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+ "image_size": 1024,
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+ "initializer_range": 0.02,
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+ "mask_decoder_config": {
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+ "attention_downsample_rate": 2,
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+ "dynamic_multimask_stability_delta": 0.05,
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+ "dynamic_multimask_stability_thresh": 0.98,
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+ "dynamic_multimask_via_stability": true,
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+ "hidden_act": "gelu",
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+ "hidden_size": 256,
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+ "iou_head_depth": 3,
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+ "iou_head_hidden_dim": 256,
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+ "mlp_dim": 2048,
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+ "model_type": "",
21
+ "num_attention_heads": 8,
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+ "num_hidden_layers": 2,
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+ "num_multimask_outputs": 3
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+ },
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+ "mask_downsampler_embed_dim": 256,
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+ "mask_downsampler_hidden_act": "gelu",
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+ "mask_downsampler_kernel_size": 3,
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+ "mask_downsampler_padding": 1,
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+ "mask_downsampler_stride": 2,
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+ "mask_downsampler_total_stride": 16,
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+ "max_object_pointers_in_encoder": 16,
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+ "memory_attention_downsample_rate": 1,
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+ "memory_attention_dropout": 0.1,
34
+ "memory_attention_hidden_size": 256,
35
+ "memory_attention_mlp_hidden_act": "relu",
36
+ "memory_attention_mlp_hidden_size": 2048,
37
+ "memory_attention_num_attention_heads": 1,
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+ "memory_attention_num_layers": 2,
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+ "memory_attention_rope_dropout": 0.1,
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+ "memory_attention_rope_feat_sizes": [
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+ 64,
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+ 64
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+ ],
44
+ "memory_attention_rope_k_sizes": [
45
+ 16,
46
+ 16
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+ ],
48
+ "memory_attention_rope_theta": 10000,
49
+ "memory_encoder_hidden_size": 256,
50
+ "memory_encoder_output_channels": 64,
51
+ "memory_fuser_embed_dim": 256,
52
+ "memory_fuser_hidden_act": "gelu",
53
+ "memory_fuser_intermediate_dim": 1024,
54
+ "memory_fuser_kernel_size": 7,
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+ "memory_fuser_layer_scale_init_value": 1e-06,
56
+ "memory_fuser_num_layers": 2,
57
+ "memory_fuser_padding": 3,
58
+ "model_type": "edgetam_video",
59
+ "multimask_max_pt_num": 1,
60
+ "multimask_min_pt_num": 0,
61
+ "multimask_output_for_tracking": true,
62
+ "multimask_output_in_sam": true,
63
+ "num_maskmem": 7,
64
+ "perceiver_resampler_attention_dropout": 0.0,
65
+ "perceiver_resampler_attention_head_dim": 64,
66
+ "perceiver_resampler_hidden_dropout": 0.0,
67
+ "perceiver_resampler_hidden_size": 64,
68
+ "perceiver_resampler_mlp_intermediate_size": 256,
69
+ "perceiver_resampler_num_attention_heads": 1,
70
+ "perceiver_resampler_num_latents": 256,
71
+ "perceiver_resampler_num_latents_2d": 256,
72
+ "perceiver_resampler_num_layers": 2,
73
+ "prompt_encoder_config": {
74
+ "hidden_act": "gelu",
75
+ "hidden_size": 256,
76
+ "image_size": 1024,
77
+ "layer_norm_eps": 1e-06,
78
+ "mask_input_channels": 16,
79
+ "model_type": "",
80
+ "num_point_embeddings": 4,
81
+ "patch_size": 16,
82
+ "scale": 1
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+ },
84
+ "sigmoid_bias_for_mem_enc": -10.0,
85
+ "sigmoid_scale_for_mem_enc": 20.0,
86
+ "transformers_version": "4.57.0.dev0",
87
+ "vision_config": {
88
+ "backbone_channel_list": [
89
+ 384,
90
+ 192,
91
+ 96,
92
+ 48
93
+ ],
94
+ "backbone_config": {
95
+ "_name_or_path": "",
96
+ "add_cross_attention": false,
97
+ "architecture": "repvit_m1",
98
+ "architectures": null,
99
+ "bad_words_ids": null,
100
+ "begin_suppress_tokens": null,
101
+ "bos_token_id": null,
102
+ "chunk_size_feed_forward": 0,
103
+ "cross_attention_hidden_size": null,
104
+ "decoder_start_token_id": null,
105
+ "diversity_penalty": 0.0,
106
+ "do_pooling": true,
107
+ "do_sample": false,
108
+ "dtype": null,
109
+ "early_stopping": false,
110
+ "encoder_no_repeat_ngram_size": 0,
111
+ "eos_token_id": null,
112
+ "exponential_decay_length_penalty": null,
113
+ "finetuning_task": null,
114
+ "forced_bos_token_id": null,
115
+ "forced_eos_token_id": null,
116
+ "global_pool": "avg",
117
+ "initializer_range": 0.02,
118
+ "is_decoder": false,
119
+ "is_encoder_decoder": false,
120
+ "label_names": [
121
+ "tench, Tinca tinca",
122
+ "goldfish, Carassius auratus",
123
+ "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
124
+ "tiger shark, Galeocerdo cuvieri",
125
+ "hammerhead, hammerhead shark",
126
+ "electric ray, crampfish, numbfish, torpedo",
127
+ "stingray",
128
+ "cock",
129
+ "hen",
130
+ "ostrich, Struthio camelus",
131
+ "brambling, Fringilla montifringilla",
132
+ "goldfinch, Carduelis carduelis",
133
+ "house finch, linnet, Carpodacus mexicanus",
134
+ "junco, snowbird",
135
+ "indigo bunting, indigo finch, indigo bird, Passerina cyanea",
136
+ "robin, American robin, Turdus migratorius",
137
+ "bulbul",
138
+ "jay",
139
+ "magpie",
140
+ "chickadee",
141
+ "water ouzel, dipper",
142
+ "kite",
143
+ "bald eagle, American eagle, Haliaeetus leucocephalus",
144
+ "vulture",
145
+ "great grey owl, great gray owl, Strix nebulosa",
146
+ "European fire salamander, Salamandra salamandra",
147
+ "common newt, Triturus vulgaris",
148
+ "eft",
149
+ "spotted salamander, Ambystoma maculatum",
150
+ "axolotl, mud puppy, Ambystoma mexicanum",
151
+ "bullfrog, Rana catesbeiana",
152
+ "tree frog, tree-frog",
153
+ "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",
154
+ "loggerhead, loggerhead turtle, Caretta caretta",
155
+ "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",
156
+ "mud turtle",
157
+ "terrapin",
158
+ "box turtle, box tortoise",
159
+ "banded gecko",
160
+ "common iguana, iguana, Iguana iguana",
161
+ "American chameleon, anole, Anolis carolinensis",
162
+ "whiptail, whiptail lizard",
163
+ "agama",
164
+ "frilled lizard, Chlamydosaurus kingi",
165
+ "alligator lizard",
166
+ "Gila monster, Heloderma suspectum",
167
+ "green lizard, Lacerta viridis",
168
+ "African chameleon, Chamaeleo chamaeleon",
169
+ "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",
170
+ "African crocodile, Nile crocodile, Crocodylus niloticus",
171
+ "American alligator, Alligator mississipiensis",
172
+ "triceratops",
173
+ "thunder snake, worm snake, Carphophis amoenus",
174
+ "ringneck snake, ring-necked snake, ring snake",
175
+ "hognose snake, puff adder, sand viper",
176
+ "green snake, grass snake",
177
+ "king snake, kingsnake",
178
+ "garter snake, grass snake",
179
+ "water snake",
180
+ "vine snake",
181
+ "night snake, Hypsiglena torquata",
182
+ "boa constrictor, Constrictor constrictor",
183
+ "rock python, rock snake, Python sebae",
184
+ "Indian cobra, Naja naja",
185
+ "green mamba",
186
+ "sea snake",
187
+ "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",
188
+ "diamondback, diamondback rattlesnake, Crotalus adamanteus",
189
+ "sidewinder, horned rattlesnake, Crotalus cerastes",
190
+ "trilobite",
191
+ "harvestman, daddy longlegs, Phalangium opilio",
192
+ "scorpion",
193
+ "black and gold garden spider, Argiope aurantia",
194
+ "barn spider, Araneus cavaticus",
195
+ "garden spider, Aranea diademata",
196
+ "black widow, Latrodectus mactans",
197
+ "tarantula",
198
+ "wolf spider, hunting spider",
199
+ "tick",
200
+ "centipede",
201
+ "black grouse",
202
+ "ptarmigan",
203
+ "ruffed grouse, partridge, Bonasa umbellus",
204
+ "prairie chicken, prairie grouse, prairie fowl",
205
+ "peacock",
206
+ "quail",
207
+ "partridge",
208
+ "African grey, African gray, Psittacus erithacus",
209
+ "macaw",
210
+ "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",
211
+ "lorikeet",
212
+ "coucal",
213
+ "bee eater",
214
+ "hornbill",
215
+ "hummingbird",
216
+ "jacamar",
217
+ "toucan",
218
+ "drake",
219
+ "red-breasted merganser, Mergus serrator",
220
+ "goose",
221
+ "black swan, Cygnus atratus",
222
+ "tusker",
223
+ "echidna, spiny anteater, anteater",
224
+ "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",
225
+ "wallaby, brush kangaroo",
226
+ "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",
227
+ "wombat",
228
+ "jellyfish",
229
+ "sea anemone, anemone",
230
+ "brain coral",
231
+ "flatworm, platyhelminth",
232
+ "nematode, nematode worm, roundworm",
233
+ "conch",
234
+ "snail",
235
+ "slug",
236
+ "sea slug, nudibranch",
237
+ "chiton, coat-of-mail shell, sea cradle, polyplacophore",
238
+ "chambered nautilus, pearly nautilus, nautilus",
239
+ "Dungeness crab, Cancer magister",
240
+ "rock crab, Cancer irroratus",
241
+ "fiddler crab",
242
+ "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",
243
+ "American lobster, Northern lobster, Maine lobster, Homarus americanus",
244
+ "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",
245
+ "crayfish, crawfish, crawdad, crawdaddy",
246
+ "hermit crab",
247
+ "isopod",
248
+ "white stork, Ciconia ciconia",
249
+ "black stork, Ciconia nigra",
250
+ "spoonbill",
251
+ "flamingo",
252
+ "little blue heron, Egretta caerulea",
253
+ "American egret, great white heron, Egretta albus",
254
+ "bittern",
255
+ "crane",
256
+ "limpkin, Aramus pictus",
257
+ "European gallinule, Porphyrio porphyrio",
258
+ "American coot, marsh hen, mud hen, water hen, Fulica americana",
259
+ "bustard",
260
+ "ruddy turnstone, Arenaria interpres",
261
+ "red-backed sandpiper, dunlin, Erolia alpina",
262
+ "redshank, Tringa totanus",
263
+ "dowitcher",
264
+ "oystercatcher, oyster catcher",
265
+ "pelican",
266
+ "king penguin, Aptenodytes patagonica",
267
+ "albatross, mollymawk",
268
+ "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",
269
+ "killer whale, killer, orca, grampus, sea wolf, Orcinus orca",
270
+ "dugong, Dugong dugon",
271
+ "sea lion",
272
+ "Chihuahua",
273
+ "Japanese spaniel",
274
+ "Maltese dog, Maltese terrier, Maltese",
275
+ "Pekinese, Pekingese, Peke",
276
+ "Shih-Tzu",
277
+ "Blenheim spaniel",
278
+ "papillon",
279
+ "toy terrier",
280
+ "Rhodesian ridgeback",
281
+ "Afghan hound, Afghan",
282
+ "basset, basset hound",
283
+ "beagle",
284
+ "bloodhound, sleuthhound",
285
+ "bluetick",
286
+ "black-and-tan coonhound",
287
+ "Walker hound, Walker foxhound",
288
+ "English foxhound",
289
+ "redbone",
290
+ "borzoi, Russian wolfhound",
291
+ "Irish wolfhound",
292
+ "Italian greyhound",
293
+ "whippet",
294
+ "Ibizan hound, Ibizan Podenco",
295
+ "Norwegian elkhound, elkhound",
296
+ "otterhound, otter hound",
297
+ "Saluki, gazelle hound",
298
+ "Scottish deerhound, deerhound",
299
+ "Weimaraner",
300
+ "Staffordshire bullterrier, Staffordshire bull terrier",
301
+ "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",
302
+ "Bedlington terrier",
303
+ "Border terrier",
304
+ "Kerry blue terrier",
305
+ "Irish terrier",
306
+ "Norfolk terrier",
307
+ "Norwich terrier",
308
+ "Yorkshire terrier",
309
+ "wire-haired fox terrier",
310
+ "Lakeland terrier",
311
+ "Sealyham terrier, Sealyham",
312
+ "Airedale, Airedale terrier",
313
+ "cairn, cairn terrier",
314
+ "Australian terrier",
315
+ "Dandie Dinmont, Dandie Dinmont terrier",
316
+ "Boston bull, Boston terrier",
317
+ "miniature schnauzer",
318
+ "giant schnauzer",
319
+ "standard schnauzer",
320
+ "Scotch terrier, Scottish terrier, Scottie",
321
+ "Tibetan terrier, chrysanthemum dog",
322
+ "silky terrier, Sydney silky",
323
+ "soft-coated wheaten terrier",
324
+ "West Highland white terrier",
325
+ "Lhasa, Lhasa apso",
326
+ "flat-coated retriever",
327
+ "curly-coated retriever",
328
+ "golden retriever",
329
+ "Labrador retriever",
330
+ "Chesapeake Bay retriever",
331
+ "German short-haired pointer",
332
+ "vizsla, Hungarian pointer",
333
+ "English setter",
334
+ "Irish setter, red setter",
335
+ "Gordon setter",
336
+ "Brittany spaniel",
337
+ "clumber, clumber spaniel",
338
+ "English springer, English springer spaniel",
339
+ "Welsh springer spaniel",
340
+ "cocker spaniel, English cocker spaniel, cocker",
341
+ "Sussex spaniel",
342
+ "Irish water spaniel",
343
+ "kuvasz",
344
+ "schipperke",
345
+ "groenendael",
346
+ "malinois",
347
+ "briard",
348
+ "kelpie",
349
+ "komondor",
350
+ "Old English sheepdog, bobtail",
351
+ "Shetland sheepdog, Shetland sheep dog, Shetland",
352
+ "collie",
353
+ "Border collie",
354
+ "Bouvier des Flandres, Bouviers des Flandres",
355
+ "Rottweiler",
356
+ "German shepherd, German shepherd dog, German police dog, alsatian",
357
+ "Doberman, Doberman pinscher",
358
+ "miniature pinscher",
359
+ "Greater Swiss Mountain dog",
360
+ "Bernese mountain dog",
361
+ "Appenzeller",
362
+ "EntleBucher",
363
+ "boxer",
364
+ "bull mastiff",
365
+ "Tibetan mastiff",
366
+ "French bulldog",
367
+ "Great Dane",
368
+ "Saint Bernard, St Bernard",
369
+ "Eskimo dog, husky",
370
+ "malamute, malemute, Alaskan malamute",
371
+ "Siberian husky",
372
+ "dalmatian, coach dog, carriage dog",
373
+ "affenpinscher, monkey pinscher, monkey dog",
374
+ "basenji",
375
+ "pug, pug-dog",
376
+ "Leonberg",
377
+ "Newfoundland, Newfoundland dog",
378
+ "Great Pyrenees",
379
+ "Samoyed, Samoyede",
380
+ "Pomeranian",
381
+ "chow, chow chow",
382
+ "keeshond",
383
+ "Brabancon griffon",
384
+ "Pembroke, Pembroke Welsh corgi",
385
+ "Cardigan, Cardigan Welsh corgi",
386
+ "toy poodle",
387
+ "miniature poodle",
388
+ "standard poodle",
389
+ "Mexican hairless",
390
+ "timber wolf, grey wolf, gray wolf, Canis lupus",
391
+ "white wolf, Arctic wolf, Canis lupus tundrarum",
392
+ "red wolf, maned wolf, Canis rufus, Canis niger",
393
+ "coyote, prairie wolf, brush wolf, Canis latrans",
394
+ "dingo, warrigal, warragal, Canis dingo",
395
+ "dhole, Cuon alpinus",
396
+ "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",
397
+ "hyena, hyaena",
398
+ "red fox, Vulpes vulpes",
399
+ "kit fox, Vulpes macrotis",
400
+ "Arctic fox, white fox, Alopex lagopus",
401
+ "grey fox, gray fox, Urocyon cinereoargenteus",
402
+ "tabby, tabby cat",
403
+ "tiger cat",
404
+ "Persian cat",
405
+ "Siamese cat, Siamese",
406
+ "Egyptian cat",
407
+ "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",
408
+ "lynx, catamount",
409
+ "leopard, Panthera pardus",
410
+ "snow leopard, ounce, Panthera uncia",
411
+ "jaguar, panther, Panthera onca, Felis onca",
412
+ "lion, king of beasts, Panthera leo",
413
+ "tiger, Panthera tigris",
414
+ "cheetah, chetah, Acinonyx jubatus",
415
+ "brown bear, bruin, Ursus arctos",
416
+ "American black bear, black bear, Ursus americanus, Euarctos americanus",
417
+ "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",
418
+ "sloth bear, Melursus ursinus, Ursus ursinus",
419
+ "mongoose",
420
+ "meerkat, mierkat",
421
+ "tiger beetle",
422
+ "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",
423
+ "ground beetle, carabid beetle",
424
+ "long-horned beetle, longicorn, longicorn beetle",
425
+ "leaf beetle, chrysomelid",
426
+ "dung beetle",
427
+ "rhinoceros beetle",
428
+ "weevil",
429
+ "fly",
430
+ "bee",
431
+ "ant, emmet, pismire",
432
+ "grasshopper, hopper",
433
+ "cricket",
434
+ "walking stick, walkingstick, stick insect",
435
+ "cockroach, roach",
436
+ "mantis, mantid",
437
+ "cicada, cicala",
438
+ "leafhopper",
439
+ "lacewing, lacewing fly",
440
+ "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
441
+ "damselfly",
442
+ "admiral",
443
+ "ringlet, ringlet butterfly",
444
+ "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",
445
+ "cabbage butterfly",
446
+ "sulphur butterfly, sulfur butterfly",
447
+ "lycaenid, lycaenid butterfly",
448
+ "starfish, sea star",
449
+ "sea urchin",
450
+ "sea cucumber, holothurian",
451
+ "wood rabbit, cottontail, cottontail rabbit",
452
+ "hare",
453
+ "Angora, Angora rabbit",
454
+ "hamster",
455
+ "porcupine, hedgehog",
456
+ "fox squirrel, eastern fox squirrel, Sciurus niger",
457
+ "marmot",
458
+ "beaver",
459
+ "guinea pig, Cavia cobaya",
460
+ "sorrel",
461
+ "zebra",
462
+ "hog, pig, grunter, squealer, Sus scrofa",
463
+ "wild boar, boar, Sus scrofa",
464
+ "warthog",
465
+ "hippopotamus, hippo, river horse, Hippopotamus amphibius",
466
+ "ox",
467
+ "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",
468
+ "bison",
469
+ "ram, tup",
470
+ "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",
471
+ "ibex, Capra ibex",
472
+ "hartebeest",
473
+ "impala, Aepyceros melampus",
474
+ "gazelle",
475
+ "Arabian camel, dromedary, Camelus dromedarius",
476
+ "llama",
477
+ "weasel",
478
+ "mink",
479
+ "polecat, fitch, foulmart, foumart, Mustela putorius",
480
+ "black-footed ferret, ferret, Mustela nigripes",
481
+ "otter",
482
+ "skunk, polecat, wood pussy",
483
+ "badger",
484
+ "armadillo",
485
+ "three-toed sloth, ai, Bradypus tridactylus",
486
+ "orangutan, orang, orangutang, Pongo pygmaeus",
487
+ "gorilla, Gorilla gorilla",
488
+ "chimpanzee, chimp, Pan troglodytes",
489
+ "gibbon, Hylobates lar",
490
+ "siamang, Hylobates syndactylus, Symphalangus syndactylus",
491
+ "guenon, guenon monkey",
492
+ "patas, hussar monkey, Erythrocebus patas",
493
+ "baboon",
494
+ "macaque",
495
+ "langur",
496
+ "colobus, colobus monkey",
497
+ "proboscis monkey, Nasalis larvatus",
498
+ "marmoset",
499
+ "capuchin, ringtail, Cebus capucinus",
500
+ "howler monkey, howler",
501
+ "titi, titi monkey",
502
+ "spider monkey, Ateles geoffroyi",
503
+ "squirrel monkey, Saimiri sciureus",
504
+ "Madagascar cat, ring-tailed lemur, Lemur catta",
505
+ "indri, indris, Indri indri, Indri brevicaudatus",
506
+ "Indian elephant, Elephas maximus",
507
+ "African elephant, Loxodonta africana",
508
+ "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",
509
+ "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",
510
+ "barracouta, snoek",
511
+ "eel",
512
+ "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",
513
+ "rock beauty, Holocanthus tricolor",
514
+ "anemone fish",
515
+ "sturgeon",
516
+ "gar, garfish, garpike, billfish, Lepisosteus osseus",
517
+ "lionfish",
518
+ "puffer, pufferfish, blowfish, globefish",
519
+ "abacus",
520
+ "abaya",
521
+ "academic gown, academic robe, judge's robe",
522
+ "accordion, piano accordion, squeeze box",
523
+ "acoustic guitar",
524
+ "aircraft carrier, carrier, flattop, attack aircraft carrier",
525
+ "airliner",
526
+ "airship, dirigible",
527
+ "altar",
528
+ "ambulance",
529
+ "amphibian, amphibious vehicle",
530
+ "analog clock",
531
+ "apiary, bee house",
532
+ "apron",
533
+ "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",
534
+ "assault rifle, assault gun",
535
+ "backpack, back pack, knapsack, packsack, rucksack, haversack",
536
+ "bakery, bakeshop, bakehouse",
537
+ "balance beam, beam",
538
+ "balloon",
539
+ "ballpoint, ballpoint pen, ballpen, Biro",
540
+ "Band Aid",
541
+ "banjo",
542
+ "bannister, banister, balustrade, balusters, handrail",
543
+ "barbell",
544
+ "barber chair",
545
+ "barbershop",
546
+ "barn",
547
+ "barometer",
548
+ "barrel, cask",
549
+ "barrow, garden cart, lawn cart, wheelbarrow",
550
+ "baseball",
551
+ "basketball",
552
+ "bassinet",
553
+ "bassoon",
554
+ "bathing cap, swimming cap",
555
+ "bath towel",
556
+ "bathtub, bathing tub, bath, tub",
557
+ "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",
558
+ "beacon, lighthouse, beacon light, pharos",
559
+ "beaker",
560
+ "bearskin, busby, shako",
561
+ "beer bottle",
562
+ "beer glass",
563
+ "bell cote, bell cot",
564
+ "bib",
565
+ "bicycle-built-for-two, tandem bicycle, tandem",
566
+ "bikini, two-piece",
567
+ "binder, ring-binder",
568
+ "binoculars, field glasses, opera glasses",
569
+ "birdhouse",
570
+ "boathouse",
571
+ "bobsled, bobsleigh, bob",
572
+ "bolo tie, bolo, bola tie, bola",
573
+ "bonnet, poke bonnet",
574
+ "bookcase",
575
+ "bookshop, bookstore, bookstall",
576
+ "bottlecap",
577
+ "bow",
578
+ "bow tie, bow-tie, bowtie",
579
+ "brass, memorial tablet, plaque",
580
+ "brassiere, bra, bandeau",
581
+ "breakwater, groin, groyne, mole, bulwark, seawall, jetty",
582
+ "breastplate, aegis, egis",
583
+ "broom",
584
+ "bucket, pail",
585
+ "buckle",
586
+ "bulletproof vest",
587
+ "bullet train, bullet",
588
+ "butcher shop, meat market",
589
+ "cab, hack, taxi, taxicab",
590
+ "caldron, cauldron",
591
+ "candle, taper, wax light",
592
+ "cannon",
593
+ "canoe",
594
+ "can opener, tin opener",
595
+ "cardigan",
596
+ "car mirror",
597
+ "carousel, carrousel, merry-go-round, roundabout, whirligig",
598
+ "carpenter's kit, tool kit",
599
+ "carton",
600
+ "car wheel",
601
+ "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",
602
+ "cassette",
603
+ "cassette player",
604
+ "castle",
605
+ "catamaran",
606
+ "CD player",
607
+ "cello, violoncello",
608
+ "cellular telephone, cellular phone, cellphone, cell, mobile phone",
609
+ "chain",
610
+ "chainlink fence",
611
+ "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",
612
+ "chain saw, chainsaw",
613
+ "chest",
614
+ "chiffonier, commode",
615
+ "chime, bell, gong",
616
+ "china cabinet, china closet",
617
+ "Christmas stocking",
618
+ "church, church building",
619
+ "cinema, movie theater, movie theatre, movie house, picture palace",
620
+ "cleaver, meat cleaver, chopper",
621
+ "cliff dwelling",
622
+ "cloak",
623
+ "clog, geta, patten, sabot",
624
+ "cocktail shaker",
625
+ "coffee mug",
626
+ "coffeepot",
627
+ "coil, spiral, volute, whorl, helix",
628
+ "combination lock",
629
+ "computer keyboard, keypad",
630
+ "confectionery, confectionary, candy store",
631
+ "container ship, containership, container vessel",
632
+ "convertible",
633
+ "corkscrew, bottle screw",
634
+ "cornet, horn, trumpet, trump",
635
+ "cowboy boot",
636
+ "cowboy hat, ten-gallon hat",
637
+ "cradle",
638
+ "crane",
639
+ "crash helmet",
640
+ "crate",
641
+ "crib, cot",
642
+ "Crock Pot",
643
+ "croquet ball",
644
+ "crutch",
645
+ "cuirass",
646
+ "dam, dike, dyke",
647
+ "desk",
648
+ "desktop computer",
649
+ "dial telephone, dial phone",
650
+ "diaper, nappy, napkin",
651
+ "digital clock",
652
+ "digital watch",
653
+ "dining table, board",
654
+ "dishrag, dishcloth",
655
+ "dishwasher, dish washer, dishwashing machine",
656
+ "disk brake, disc brake",
657
+ "dock, dockage, docking facility",
658
+ "dogsled, dog sled, dog sleigh",
659
+ "dome",
660
+ "doormat, welcome mat",
661
+ "drilling platform, offshore rig",
662
+ "drum, membranophone, tympan",
663
+ "drumstick",
664
+ "dumbbell",
665
+ "Dutch oven",
666
+ "electric fan, blower",
667
+ "electric guitar",
668
+ "electric locomotive",
669
+ "entertainment center",
670
+ "envelope",
671
+ "espresso maker",
672
+ "face powder",
673
+ "feather boa, boa",
674
+ "file, file cabinet, filing cabinet",
675
+ "fireboat",
676
+ "fire engine, fire truck",
677
+ "fire screen, fireguard",
678
+ "flagpole, flagstaff",
679
+ "flute, transverse flute",
680
+ "folding chair",
681
+ "football helmet",
682
+ "forklift",
683
+ "fountain",
684
+ "fountain pen",
685
+ "four-poster",
686
+ "freight car",
687
+ "French horn, horn",
688
+ "frying pan, frypan, skillet",
689
+ "fur coat",
690
+ "garbage truck, dustcart",
691
+ "gasmask, respirator, gas helmet",
692
+ "gas pump, gasoline pump, petrol pump, island dispenser",
693
+ "goblet",
694
+ "go-kart",
695
+ "golf ball",
696
+ "golfcart, golf cart",
697
+ "gondola",
698
+ "gong, tam-tam",
699
+ "gown",
700
+ "grand piano, grand",
701
+ "greenhouse, nursery, glasshouse",
702
+ "grille, radiator grille",
703
+ "grocery store, grocery, food market, market",
704
+ "guillotine",
705
+ "hair slide",
706
+ "hair spray",
707
+ "half track",
708
+ "hammer",
709
+ "hamper",
710
+ "hand blower, blow dryer, blow drier, hair dryer, hair drier",
711
+ "hand-held computer, hand-held microcomputer",
712
+ "handkerchief, hankie, hanky, hankey",
713
+ "hard disc, hard disk, fixed disk",
714
+ "harmonica, mouth organ, harp, mouth harp",
715
+ "harp",
716
+ "harvester, reaper",
717
+ "hatchet",
718
+ "holster",
719
+ "home theater, home theatre",
720
+ "honeycomb",
721
+ "hook, claw",
722
+ "hoopskirt, crinoline",
723
+ "horizontal bar, high bar",
724
+ "horse cart, horse-cart",
725
+ "hourglass",
726
+ "iPod",
727
+ "iron, smoothing iron",
728
+ "jack-o'-lantern",
729
+ "jean, blue jean, denim",
730
+ "jeep, landrover",
731
+ "jersey, T-shirt, tee shirt",
732
+ "jigsaw puzzle",
733
+ "jinrikisha, ricksha, rickshaw",
734
+ "joystick",
735
+ "kimono",
736
+ "knee pad",
737
+ "knot",
738
+ "lab coat, laboratory coat",
739
+ "ladle",
740
+ "lampshade, lamp shade",
741
+ "laptop, laptop computer",
742
+ "lawn mower, mower",
743
+ "lens cap, lens cover",
744
+ "letter opener, paper knife, paperknife",
745
+ "library",
746
+ "lifeboat",
747
+ "lighter, light, igniter, ignitor",
748
+ "limousine, limo",
749
+ "liner, ocean liner",
750
+ "lipstick, lip rouge",
751
+ "Loafer",
752
+ "lotion",
753
+ "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",
754
+ "loupe, jeweler's loupe",
755
+ "lumbermill, sawmill",
756
+ "magnetic compass",
757
+ "mailbag, postbag",
758
+ "mailbox, letter box",
759
+ "maillot",
760
+ "maillot, tank suit",
761
+ "manhole cover",
762
+ "maraca",
763
+ "marimba, xylophone",
764
+ "mask",
765
+ "matchstick",
766
+ "maypole",
767
+ "maze, labyrinth",
768
+ "measuring cup",
769
+ "medicine chest, medicine cabinet",
770
+ "megalith, megalithic structure",
771
+ "microphone, mike",
772
+ "microwave, microwave oven",
773
+ "military uniform",
774
+ "milk can",
775
+ "minibus",
776
+ "miniskirt, mini",
777
+ "minivan",
778
+ "missile",
779
+ "mitten",
780
+ "mixing bowl",
781
+ "mobile home, manufactured home",
782
+ "Model T",
783
+ "modem",
784
+ "monastery",
785
+ "monitor",
786
+ "moped",
787
+ "mortar",
788
+ "mortarboard",
789
+ "mosque",
790
+ "mosquito net",
791
+ "motor scooter, scooter",
792
+ "mountain bike, all-terrain bike, off-roader",
793
+ "mountain tent",
794
+ "mouse, computer mouse",
795
+ "mousetrap",
796
+ "moving van",
797
+ "muzzle",
798
+ "nail",
799
+ "neck brace",
800
+ "necklace",
801
+ "nipple",
802
+ "notebook, notebook computer",
803
+ "obelisk",
804
+ "oboe, hautboy, hautbois",
805
+ "ocarina, sweet potato",
806
+ "odometer, hodometer, mileometer, milometer",
807
+ "oil filter",
808
+ "organ, pipe organ",
809
+ "oscilloscope, scope, cathode-ray oscilloscope, CRO",
810
+ "overskirt",
811
+ "oxcart",
812
+ "oxygen mask",
813
+ "packet",
814
+ "paddle, boat paddle",
815
+ "paddlewheel, paddle wheel",
816
+ "padlock",
817
+ "paintbrush",
818
+ "pajama, pyjama, pj's, jammies",
819
+ "palace",
820
+ "panpipe, pandean pipe, syrinx",
821
+ "paper towel",
822
+ "parachute, chute",
823
+ "parallel bars, bars",
824
+ "park bench",
825
+ "parking meter",
826
+ "passenger car, coach, carriage",
827
+ "patio, terrace",
828
+ "pay-phone, pay-station",
829
+ "pedestal, plinth, footstall",
830
+ "pencil box, pencil case",
831
+ "pencil sharpener",
832
+ "perfume, essence",
833
+ "Petri dish",
834
+ "photocopier",
835
+ "pick, plectrum, plectron",
836
+ "pickelhaube",
837
+ "picket fence, paling",
838
+ "pickup, pickup truck",
839
+ "pier",
840
+ "piggy bank, penny bank",
841
+ "pill bottle",
842
+ "pillow",
843
+ "ping-pong ball",
844
+ "pinwheel",
845
+ "pirate, pirate ship",
846
+ "pitcher, ewer",
847
+ "plane, carpenter's plane, woodworking plane",
848
+ "planetarium",
849
+ "plastic bag",
850
+ "plate rack",
851
+ "plow, plough",
852
+ "plunger, plumber's helper",
853
+ "Polaroid camera, Polaroid Land camera",
854
+ "pole",
855
+ "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",
856
+ "poncho",
857
+ "pool table, billiard table, snooker table",
858
+ "pop bottle, soda bottle",
859
+ "pot, flowerpot",
860
+ "potter's wheel",
861
+ "power drill",
862
+ "prayer rug, prayer mat",
863
+ "printer",
864
+ "prison, prison house",
865
+ "projectile, missile",
866
+ "projector",
867
+ "puck, hockey puck",
868
+ "punching bag, punch bag, punching ball, punchball",
869
+ "purse",
870
+ "quill, quill pen",
871
+ "quilt, comforter, comfort, puff",
872
+ "racer, race car, racing car",
873
+ "racket, racquet",
874
+ "radiator",
875
+ "radio, wireless",
876
+ "radio telescope, radio reflector",
877
+ "rain barrel",
878
+ "recreational vehicle, RV, R.V.",
879
+ "reel",
880
+ "reflex camera",
881
+ "refrigerator, icebox",
882
+ "remote control, remote",
883
+ "restaurant, eating house, eating place, eatery",
884
+ "revolver, six-gun, six-shooter",
885
+ "rifle",
886
+ "rocking chair, rocker",
887
+ "rotisserie",
888
+ "rubber eraser, rubber, pencil eraser",
889
+ "rugby ball",
890
+ "rule, ruler",
891
+ "running shoe",
892
+ "safe",
893
+ "safety pin",
894
+ "saltshaker, salt shaker",
895
+ "sandal",
896
+ "sarong",
897
+ "sax, saxophone",
898
+ "scabbard",
899
+ "scale, weighing machine",
900
+ "school bus",
901
+ "schooner",
902
+ "scoreboard",
903
+ "screen, CRT screen",
904
+ "screw",
905
+ "screwdriver",
906
+ "seat belt, seatbelt",
907
+ "sewing machine",
908
+ "shield, buckler",
909
+ "shoe shop, shoe-shop, shoe store",
910
+ "shoji",
911
+ "shopping basket",
912
+ "shopping cart",
913
+ "shovel",
914
+ "shower cap",
915
+ "shower curtain",
916
+ "ski",
917
+ "ski mask",
918
+ "sleeping bag",
919
+ "slide rule, slipstick",
920
+ "sliding door",
921
+ "slot, one-armed bandit",
922
+ "snorkel",
923
+ "snowmobile",
924
+ "snowplow, snowplough",
925
+ "soap dispenser",
926
+ "soccer ball",
927
+ "sock",
928
+ "solar dish, solar collector, solar furnace",
929
+ "sombrero",
930
+ "soup bowl",
931
+ "space bar",
932
+ "space heater",
933
+ "space shuttle",
934
+ "spatula",
935
+ "speedboat",
936
+ "spider web, spider's web",
937
+ "spindle",
938
+ "sports car, sport car",
939
+ "spotlight, spot",
940
+ "stage",
941
+ "steam locomotive",
942
+ "steel arch bridge",
943
+ "steel drum",
944
+ "stethoscope",
945
+ "stole",
946
+ "stone wall",
947
+ "stopwatch, stop watch",
948
+ "stove",
949
+ "strainer",
950
+ "streetcar, tram, tramcar, trolley, trolley car",
951
+ "stretcher",
952
+ "studio couch, day bed",
953
+ "stupa, tope",
954
+ "submarine, pigboat, sub, U-boat",
955
+ "suit, suit of clothes",
956
+ "sundial",
957
+ "sunglass",
958
+ "sunglasses, dark glasses, shades",
959
+ "sunscreen, sunblock, sun blocker",
960
+ "suspension bridge",
961
+ "swab, swob, mop",
962
+ "sweatshirt",
963
+ "swimming trunks, bathing trunks",
964
+ "swing",
965
+ "switch, electric switch, electrical switch",
966
+ "syringe",
967
+ "table lamp",
968
+ "tank, army tank, armored combat vehicle, armoured combat vehicle",
969
+ "tape player",
970
+ "teapot",
971
+ "teddy, teddy bear",
972
+ "television, television system",
973
+ "tennis ball",
974
+ "thatch, thatched roof",
975
+ "theater curtain, theatre curtain",
976
+ "thimble",
977
+ "thresher, thrasher, threshing machine",
978
+ "throne",
979
+ "tile roof",
980
+ "toaster",
981
+ "tobacco shop, tobacconist shop, tobacconist",
982
+ "toilet seat",
983
+ "torch",
984
+ "totem pole",
985
+ "tow truck, tow car, wrecker",
986
+ "toyshop",
987
+ "tractor",
988
+ "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",
989
+ "tray",
990
+ "trench coat",
991
+ "tricycle, trike, velocipede",
992
+ "trimaran",
993
+ "tripod",
994
+ "triumphal arch",
995
+ "trolleybus, trolley coach, trackless trolley",
996
+ "trombone",
997
+ "tub, vat",
998
+ "turnstile",
999
+ "typewriter keyboard",
1000
+ "umbrella",
1001
+ "unicycle, monocycle",
1002
+ "upright, upright piano",
1003
+ "vacuum, vacuum cleaner",
1004
+ "vase",
1005
+ "vault",
1006
+ "velvet",
1007
+ "vending machine",
1008
+ "vestment",
1009
+ "viaduct",
1010
+ "violin, fiddle",
1011
+ "volleyball",
1012
+ "waffle iron",
1013
+ "wall clock",
1014
+ "wallet, billfold, notecase, pocketbook",
1015
+ "wardrobe, closet, press",
1016
+ "warplane, military plane",
1017
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1018
+ "washer, automatic washer, washing machine",
1019
+ "water bottle",
1020
+ "water jug",
1021
+ "water tower",
1022
+ "whiskey jug",
1023
+ "whistle",
1024
+ "wig",
1025
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1026
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1027
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1028
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1029
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1030
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1031
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1032
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1033
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1034
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1035
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1036
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1037
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1038
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1039
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1040
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1041
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1042
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1043
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1044
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1045
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1046
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1047
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1048
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1049
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1050
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1051
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1052
+ "bagel, beigel",
1053
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1054
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1055
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1056
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1057
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1058
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1059
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1060
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1061
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1062
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1063
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1064
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1065
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1066
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1067
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1068
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1069
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1070
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1071
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1072
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1073
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1074
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1075
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1076
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1077
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1078
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1079
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1080
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1081
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1082
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1083
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1084
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1085
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1086
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1087
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1088
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1089
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1090
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1091
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1092
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1093
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1094
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1095
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1096
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1097
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1098
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1099
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1100
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1101
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1102
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1103
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1104
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1105
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1106
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1107
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1108
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1109
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1110
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1111
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1112
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1113
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1114
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1115
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1116
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1117
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1118
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1119
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1120
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1121
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1122
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1123
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1124
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1168
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