README.md

metadata

license: unknown
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
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dataset_info:
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    - name: height
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    - name: width
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        - name: category_id
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        - name: segmentation
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    - name: validation
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    - name: test
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      num_examples: 272
  download_size: 167379319
  dataset_size: 196851255
task_categories:
  - image-segmentation
tags:
  - floorplans
  - rooms
size_categories:
  - 1K<n<10K

Floorplans Dataset

This dataset is derived from the Floorplans Diff dataset and has been curated by removing all unannotated images to ensure clean and consistent training data.

It is designed for semantic image segmentation, specifically focusing on identifying and segmenting rooms within floorplan images. Each sample consists of an image paired with a corresponding segmentation mask, enabling models to learn pixel-level classification for the room class.

Origin

This dataset is based on the publicly available Roboflow dataset: Floorplans Diff (Floorplans-i0i4r)

Source: https://universe.roboflow.com/floorplans-i0i4r/floorplans-diff