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Building Extraction Dataset

This dataset is a processed verison of the dataset of the Kaggle competition: https://www.kaggle.com/competitions/building-extraction-generalization-2024/. The original train and validation images and COCO annotations were resized to (512, 512). Then from the segmentations on the COCO annotations, a PIL_annotation file was created for each sample in which the Red channel corresponds to the semantic segmentation mask and the Green channel to the instance segmentation mask. A PIL_image file is also delivered in the dataset for each sample, so it can be downloaded directly without the need of local files.

Note: in the test split, the 'annotations' and 'PIL_annotations' columns are placeholders.

Dataset Structure

  • Train: 3,784 images
  • Validation: 933 images
  • Test: 1000 images (no annotations)

Features

Each split includes:

  • image_info: original coco metadata with filename, width, and height
  • annotations: original coco annotations format
  • PIL_image: image
  • PIL_annotation: masks
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Models trained or fine-tuned on tomascanivari/buildings-extraction-coco-hf