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darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) (by AlexeyAB)
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The dataset for drone based detection and tracking is released, including both image/video, and annotations.
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(As an aside, it isn't just that YOLOv5 is evil, the problem is YOLOv5 is both slower and less precise than YOLOv4, and even then, no-one can reproduce the performance results they claim to get.) Source: https://github.com/AlexeyAB/darknet/issues/5920
Did not find any pretrained model but yoloV5 has a yaml file ready to download and train visdrone so it can be a good starting point.
Related posts
- Anybody building ML models in C++?
- [D] Fixing the angle of Skewed Paintings, see comments
- How do I train YOLO5 to detect small objects (arial imagery). something like 20-20 pixels or maybe little more? How do I increase resolution and apply augmentation and tiling? Or maybe the YOLO5 is not he best choice for that?
- I just realized yolov5 is GPL-3
- I was excited about YOLOv7, so I built a sharable object detection application with VDP and Streamlit.