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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- image-segmentation |
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- image-classification |
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language: |
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- en |
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tags: |
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- Object tracking |
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- Cars |
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- Object Detection |
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- vehicle tracking |
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dataset_info: |
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features: |
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- name: image_id |
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dtype: int32 |
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- name: image |
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dtype: image |
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- name: mask |
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dtype: image |
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- name: annotations |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 614230158 |
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num_examples: 100 |
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download_size: 580108296 |
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dataset_size: 614230158 |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Cars Tracking & Object Detection dataset |
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The collection of overhead video frames, capturing various types of vehicles traversing a roadway. The dataset inculdes light vehicles (cars) and heavy vehicles (minivan). |
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# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[our website](https://unidata.pro/datasets/cars-object-tracking/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=cars-video-object-tracking)** to buy the dataset |
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# Data Format |
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Each video frame from `images` folder is paired with an `annotations.xml` file that meticulously defines the tracking of each vehicle using polygons. |
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These annotations not only specify the location and path of each vehicle but also differentiate between the vehicle classes: |
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- cars, |
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- minivans. |
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The data labeling is visualized in the `boxes` folder. |
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# Example of the XML-file |
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# Object tracking is made in accordance with your requirements. |
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## 💴 Buy the Dataset: This is just an example of the data. Leave a request on the [our website](https://unidata.pro/datasets/cars-object-tracking/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=cars-video-object-tracking) to discuss your requirements, learn about the price and buy the dataset |
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### This is just an example of the data |
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## [Our Team](https://unidata.pro/datasets/cars-object-tracking/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=cars-video-object-tracking) provides high-quality data annotation tailored to your needs |
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*keywords: vehicle tracking algorithm, vehicle tracking dataset, object detection for self driving cars, object detection for autonomous vehicles, multiple-object vehicle tracking, car object detection dataset, vehicle image dataset, car object tracking dataset, multi-object tracking dataset, labeled web tracking dataset, large-scale object tracking dataset* |
