Uploaded February 2020 | Updated September 2026, 1 week ago
Model was trained using 608x608 input.
you need to just change the resolution in cfg file, that's it.
YOLOv3 from darknet repo (fork by the famous AlexeyAB)
Code here: github.com/AlexeyAB/darknet
Model:
csresnext50-panet-spp-original-optimal.cfg - 65.4% mAP@0.5 (43.2% AP@0.5..0.95) - 35 FPS - 100.5 BFlops - 217 MB: csresnext50-panet-spp-original-optimal_final.weights
Model was trained using 608x608 input.
you need to just change the resolution in cfg file, that's it.
YOLOv3 from darknet repo (fork by the famous AlexeyAB)
Code here: github.com/AlexeyAB/darknet
Model:
csresnext50-panet-spp-original-optimal.cfg - 65.4% mAP@0.5 (43.2% AP@0.5..0.95) - 35 FPS - 100.5 BFlops - 217 MB: csresnext50-panet-spp-original-optimal_final.weights










