Dataclusterlabspvtltd/Mobile_Phone_Dataset_Smartphone_and_Feature_Phone

Mobile Phone Dataset — Smartphone and Feature Phone (Sample)

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

Dataset Summary

This dataset is an extremely challenging collection of original mobile phone images, crowdsourced from over 1,000 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 mobile phone detection and related tasks.

Dataset Features (Full Dataset)

Sample vs. Full Dataset

To license the full dataset: sales@datacluster.ai

Dataset Structure

Mobile_Phone_Dataset_Smartphone_and_Feature_Phone/
├── 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: 1,000+ crowdsource contributors across India
• —Conditions: Day, night, varied lighting, distances, and viewpoints
• —Use cases: Mobile phone detection, cracked screen detection, generative AI, VQA, LMM training

How to Use

Download

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

Or clone directly:

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

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_mobile_phone_sample,
  title        = {Mobile Phone Dataset — Smartphone and Feature Phone (Sample)},
  author       = {DataCluster Labs},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/datasets/Dataclusterlabspvtltd/Mobile_Phone_Dataset_Smartphone_and_Feature_Phone}},
  note         = {Sample subset. 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