#344 · Primary category： Computer Vision
Yolov5-Deepsort
Latest YOLOv5+DeepSORT for object detection and tracking, displays categories, supports v5.0 and custom dataset training.
Project last updated：10/06/22
GitHub Stars
1.2K
Forks
171
Contributors
2
License
GPL-3.0
Why we included this project
This project pairs YOLOv5 detection with a DeepSort tracker so you can follow vehicles or pedestrians across frames instead of only spotting them in single images. The whole thing is wrapped in a Detector class, which hides the model loading, preprocessing, and coordinate scaling behind one detect method that returns labeled boxes. It filters output down to person, car, and truck, so counting and monitoring work stays tidy without extra post-processing. It builds on YOLOv5 5.0 and supports training on your own data, which makes it a solid base for custom tracking projects.
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