Comparative study of attention-based video object detection & tracking methods: DETR, Deformable DETR, Efficient DETR, TransVOD, and TrackFormer. Includes implementation, evaluation, and analysis on benchmark datasets to understand strengths and limitations in real-world video scenarios

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Comparative study of Yolov11s, rt-detr, and Faster r-cnn for real-time pokemon detection. Evaluates performance on a balanced 9-class dataset. results show yolov11s offers the best speed and accuracy for video tracking.

This repository contains experimental notebooks for a comparative study of YOLOv10, YOLOv11, and RT-DETR in car damage detection using the CarDD dataset, focusing on detection performance and model efficiency.