Datasets for Vision + Language + Accessibility

Production-ready Indian AI datasets with ethical collection, expert annotation, and enterprise-scale delivery. Built for teams who need reliable data that works in the real world.

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What we provide

Dataset types and modalities for production AI.

Image datasets

  • Computer vision: objects, scenes, people, vehicles
  • Accessibility: wayfinding, obstacles, signage
  • Retail: products, packaging, store layouts
  • Mobility: traffic signs, road infrastructure, vehicles

Video datasets

  • Action recognition and temporal analysis
  • Surveillance and safety monitoring
  • Accessibility navigation sequences
  • Multi-view and multi-camera setups

Audio & speech datasets

  • Indian language speech recognition
  • Accent and dialect variations
  • Audio description for accessibility
  • Noise-robust training data

Text & NLP datasets

  • Indian language text corpora
  • OCR ground truth for signage and documents
  • Sentiment and intent classification
  • Multilingual translation pairs

Multimodal datasets

  • Image + text pairs (captions, descriptions)
  • Video + audio synchronization
  • Vision-language for accessibility
  • Cross-modal retrieval training sets

Our Clients

70+ clients

Data collection & sourcing

Ethical, consent-driven, privacy-aware collection.

Dataset summary

# Images: 2,00,000+; Human-captured images
# Classes: 250+; e.g. fire, vehicles, cracked screen, trash, domestic objects, luggage, product description, invoices, mobile screenshots, etc.
Annotations: Bounding boxes, Image captioning, Image QA
Suitable for: Classification, object detection, captioning, Image QA
Diversity: Variety of lighting conditions, orientation, and real-world perspectives.
License: Commercial friendly

Featured datasets

Indian Traffic Signs dataset sample

Indian Traffic Signs

Images · Pan-India · Bounding boxes

Comprehensive dataset of Indian traffic signs across varied lighting, weather, and signage styles.

View on Kaggle
Stairs dataset sample

Stairs & Obstacles

Images · Accessibility · Segmentation

Accessibility-focused dataset for wayfinding, with segmentation labels for stairs, crossings, and obstacles.

View on Kaggle
Construction Vehicles dataset sample

Construction Vehicles

Images · Urban/Highway · Bounding boxes

Vehicle detection dataset covering construction vehicles, trucks, and heavy machinery in Indian contexts.

View on Kaggle
Trash & Garbage dataset sample

Trash & Garbage

Images · Urban · Segmentation

Waste detection and classification dataset for smart city and environmental monitoring applications.

View on Kaggle
Zebra Crossing dataset sample

Zebra Crossings

Images · Accessibility · Detection

Pedestrian crossing detection dataset for accessibility and autonomous vehicle applications.

View on Kaggle
Indian Number Plates dataset sample

Indian Number Plates

Images · OCR · Text detection

Vehicle license plate detection and OCR dataset covering Indian number plate formats and styles.

View on Kaggle

Annotation capabilities

Production-grade labeling workflows.

Classification

  • Multi-class and multi-label
  • Hierarchical taxonomies
  • Fine-grained categories

Bounding boxes

  • Object detection annotations
  • Multi-object scenes
  • Occlusion handling

Segmentation

  • Instance segmentation
  • Semantic segmentation
  • Panoptic segmentation

OCR & text

  • Text detection and recognition
  • Handwritten text
  • Multilingual text annotation

Keypoints & pose

  • Human pose estimation
  • Facial landmarks
  • Object keypoints

Transcription

  • Speech-to-text
  • Audio description
  • Multilingual transcription

Quality pipeline

QA workflows you can trust.

1

Human-captured data collection

Data is collected by trained contributors to ensure real-world relevance and authenticity.

2

Project-specific guidelines

Clear, customized guidelines are defined for data collection and annotation based on project requirements.

3

Multi-level quality checks

Each dataset undergoes multiple review stages, including manual evaluation by computer vision experts.

4

Expert validation

Specialists validate data for accuracy, consistency, and bias reduction to improve model reliability.

5

Final quality audit & client feedback

A final audit is conducted, with client feedback incorporated before delivery.

Scale & formats

Enterprise volumes, standard formats.

Volumes

  • Our flagship dataset includes 200,000+ high-resolution, unique human-captured images.
  • Spans 250+ classes to support broad coverage across real-world scenarios.
  • Captures diverse urban and rural environments for model training and validation.
  • Reviewed by computer vision experts to ensure quality, diversity, and relevance.

Formats

  • COCO: Object detection and segmentation
  • YOLO: Object detection
  • JSON/CSV: Custom schemas, metadata, and labels
  • Pascal VOC: XML-based annotations
  • TFRecord: TensorFlow-ready datasets
  • Custom formats tailored to your pipeline

Use cases

From accessibility to safety-critical AI.

Accessibility

  • Wayfinding for blind users
  • Obstacle detection and navigation
  • Screen reader optimization
  • Assistive shopping and retail

E-commerce

  • Product recognition and search
  • Visual similarity matching
  • Packaging and label detection
  • Inventory management

Tourism

  • Landmark recognition
  • Multilingual signage translation
  • Cultural context understanding
  • Route and navigation assistance

Healthcare

  • Medical image analysis (with proper consent)
  • Accessibility in healthcare settings
  • Assistive technology for patients

Safety & security

  • Traffic sign recognition
  • Infrastructure monitoring
  • Fire and smoke detection
  • Public safety applications

Mobility

  • Autonomous vehicle training
  • Traffic analysis
  • Vehicle detection and classification
  • Road condition assessment

Engagement models

Flexible licensing and delivery options.

Licensing

One-time or annual licenses for existing datasets. Commercial and research licenses available.

Custom dataset build

End-to-end custom collection and annotation tailored to your specific use case, timeline, and quality requirements.

Subscription

Ongoing access to new datasets, updates, and priority support. Ideal for teams building multiple models.

Frequently asked questions

Common questions about our datasets.

We provide datasets in standard formats like COCO, YOLO, Pascal VOC, JSON, CSV, and TFRecord. We can also deliver in custom formats tailored to your pipeline. All formats include metadata, annotations, and documentation.

We use multi-pass annotation workflows, inter-annotator agreement checks, spot audits, and clear guidelines. Quality metrics are provided with each dataset, and we iterate on guidelines based on your feedback.

All data collection follows informed consent protocols, with clear participant agreements and opt-out mechanisms. We practice data minimization, anonymization where possible, and controlled access. Privacy policies are transparent and aligned with Indian data protection regulations.

Yes. We offer end-to-end custom dataset builds tailored to your use case, including collection strategy, annotation guidelines, QA workflows, and delivery formats. Typical timelines range from 4–12 weeks depending on scale and complexity.

We offer one-time licenses, annual licenses, and subscription models. Commercial and research licenses are available. Custom licensing terms can be negotiated for enterprise clients. Contact us to discuss your needs.

Yes, we offer post-delivery support based on client requirements. The standard delivery includes the finalized dataset along with annotation guidelines and documentation. Any additional support, such as extended technical assistance, customization, or AI model training, can be provided as a separate consultancy service and may involve additional charges.

Get in touch

Tell us about your dataset needs.

Share your use case, timeline, and requirements. We'll follow up with dataset options, pricing, and next steps.

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