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Indian Road Object Detection Dataset
Dataset Summary
This dataset contains 14,971 high-resolution images curated for training and evaluating object detection models in Indian road conditions.
- Total Images: 14,971
- Total Size: ~6.57 GB
- Domain: Indian traffic (urban + highway)
- Format: JPG / PNG / COCO Annotations
Key Features
Indian roads present unique challenges for computer vision:
- Dense and unstructured traffic
- Diverse vehicle types (auto-rickshaws, buses, trucks, tempo travellers, bullock-carts)
- Emergency vehicles (ambulances, fire engines)
- Traffic signs and road crossings
- Presence of animals (cows, goats, etc.)
- High scene variability and chaos
Use Case
Designed for training Transformer-based object detection models such as RT-DETR, or other modern architectures (YOLO, Faster R-CNN, etc.).
Dataset Structure
The dataset is structured into various categories reflecting the diversity of Indian roads:
- Vehicles:
auto_train,bus_train,bus_test,cars_train,cars_test,lorry_train,lorry_test,trucks - Specialized Vehicles:
Indian_Emergency_Vehicles.v1i.coco,Tempo_Traveller.v3-tempo_traveller_annotations.coco,bullock-cart.v2i.coco - Infrastructure & Signs:
Indian-Traffic Sign-Dataset,road_crossings,roads - Generated Data:
images_gen,labels_gen
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