Dataclusterlabspvtltd/Stairs_Image_Dataset_Parts_of_House_Indoor

Stairs Image Dataset — Parts of House Indoor (Sample)

⚠️ This is a free sample subset (100 images) for evaluation purposes only.
The full dataset (3,000+ HD images) is available for commercial licensing.
Contact: sales@datacluster.ai · datacluster.ai

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Dataset Summary

This dataset is an extremely challenging collection of original stair images, crowdsourced from over 500 urban and rural areas. Every image is manually reviewed and verified by computer vision professionals at DataCluster Labs.

Optimized for Generative AI, Visual Question Answering, Image Classification, and LMM development, this dataset provides a strong basis for robust model performance in stair detection and edge detection tasks.

Dataset Features (Full Dataset)

Feature	Detail
Dataset size	3,000+ images
Captured by	500+ crowdsource contributors
Resolution	100% HD and above (1920x1080+)
Location	500+ cities across India
Diversity	Day, night, varied distances, viewpoints
Device	Mobile phones, captured 2020–2022
Usage	Stair detection, stair edge detection, computer vision
Ownership	Exclusively owned by DataCluster Labs — not scraped from the internet

Sample vs. Full Dataset

	Sample (this repo)	Full Dataset
Images	100	3,000+
Annotation formats	Pascal VOC (XML)	COCO, YOLO, Pascal VOC, TF-Record
Resolution	HD and above	HD and above (1920x1080+)
Commercial use	❌ Not permitted	✅ With license
Redistribution	❌ Not permitted	Per license terms

To license the full dataset: sales@datacluster.ai

Dataset Structure

Stairs_Image_Dataset_Parts_of_House_Indoor/
├── images/
│   ├── img001.jpg
│   └── ...
└── annotations/
    └── voc/
        ├── img001.xml
        └── ...

Each XML file contains bounding-box annotations in Pascal VOC format, with filenames matching their corresponding image.

Data Collection

• Source: Crowdsourced original photography — not downloaded from the internet
• Contributors: 500+ crowdsource contributors across India
• Conditions: Day, night, varied lighting, distances, and viewpoints
• Use cases: Stair detection, stair edge detection, accessibility applications, robotics navigation, generative AI, VQA, LMM training

How to Use

Download

huggingface-cli download Dataclusterlabspvtltd/Stairs_Image_Dataset_Parts_of_House_Indoor --repo-type dataset --local-dir ./Stairs_Image_Dataset_Parts_of_House_Indoor

Or clone directly:

git lfs install
git clone https://huggingface.co/datasets/Dataclusterlabspvtltd/Stairs_Image_Dataset_Parts_of_House_Indoor

Convert VOC to YOLO or COCO

from pylabel import importer

# VOC → YOLO
dataset = importer.ImportVOC(path="annotations/voc")
dataset.export.ExportToYoloV5(output_path="annotations/yolo")

# VOC → COCO
dataset.export.ExportToCoco(output_path="annotations/coco/annotations.json")

License

This sample dataset is released under a restricted commercial-sample license — see the LICENSE file in this repository.

Key points:

• ✅ Free to download and evaluate
• ✅ Free for academic research with attribution
• ❌ No commercial use without a license from DataCluster Labs
• ❌ No redistribution or re-upload
• ❌ No use in training commercial ML models

The images are exclusively owned by DataCluster Labs. To access the full dataset for research or commercial purposes, a license can be purchased.

Contact: sales@datacluster.ai

Citation

@misc{datacluster_stairs_sample,
  title        = {Stairs Detection Dataset — Sample},
  author       = {DataCluster Labs},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/datasets/Dataclusterlabspvtltd/Stairs_Image_Dataset_Parts_of_House_Indoor}},
  note         = {Sample subset of 100 images. Full dataset (3,000+ images) available for commercial licensing at sales@datacluster.ai}
}

About DataCluster Labs

DataCluster Labs specializes in managed crowd-sourced data collection and annotation — images, videos, audio, text, and surveys — through our Dailydata platform. We deliver custom datasets for computer vision, NLP, and ML use cases.

📧 Sales / Full Dataset Access: sales@datacluster.ai
🌐 Website: datacluster.ai