---
license: unknown
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: file_name
    dtype: string
  - name: height
    dtype: int64
  - name: width
    dtype: int64
  - name: id
    dtype: int64
  - name: annotations
    list:
    - name: area
      dtype: float64
    - name: bbox
      list: float64
    - name: category_id
      dtype: int64
    - name: segmentation
      list:
        list: float64
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 195925948
    num_examples: 2429
  - name: validation
    num_bytes: 435266
    num_examples: 243
  - name: test
    num_bytes: 490041
    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