Trained custom model for detection of Auto rickshaw (Indian vehicle) using tensorflow.

This is my attempt to detect specific Indian vehicle i.e. the auto-rickshaw which is usually not a part of default classes in the pre-trained model for object detection.

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Vehicle detection including Indian transports such as auto rickshaws and lorries.

Developed an adaptive traffic signal controller using YOLOv5 + OpenCV, customizing the model for Indian traffic (including auto-rickshaw detection) and achieving 94.8% precision and 96.6% recall for real-time vehicle detection.

for vehicle detection including auto rickshaws

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Auto Rickshaw Detection Mini-Project for using YOLOv5 for Visual Recognition Course

A large-scale Indian UAV Dataset for vehicle detection and tracking under mixed traffic condition. The dataset comprises 10 classes i.e., Auto-rickshaw, Bicycle, Bus, Car, Cycle-rickshaw, E-rickshaw, Motorcycle, Pedestrian, Tractor-trolley, and Truck.

Real-time traffic object detection for urban analysis in Dhaka, Bangladesh, using YOLOv8. Fine-tunes a model to detect custom vehicles like auto-rickshaws and rickshaws. Includes data prep, annotation conversion, training, and evaluation.