Converted the already annotated dataset to YOLO format and trained the CNN Model
Trained a CNN yolo model to use a VisDrone2018 dataset annotated dataset and validated on test set images and videos to perform object detection and tracking
Following were the validation results
Applied the dataset for validation to perform object detection in a video
Following is the Object tracking implemented on the model using YOLOV8 using byte-track algorithm.
