YOLOv3 608x608 input @KarolMajek
YOLOv3 608x608 input  @KarolMajek
Uploaded February 2020 | Updated September 2026, 2 weeks 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
YOLOv3 608x608 inputSSD Mobilenet v2 COCO TensorRT Jetson NanoYOLACT Resnet50 550px: YOLO Instance SegmentationTensorRT YOLOv4x Mish 640 - RTX2070 laptopCascade RCNN R50 Caffe C4 1xYOLOv7 e6 1280pxSOTR R101 DCNFCHarDNet70 Cityscapes with augmentation - 1920x1080 inferenceTensorflow Monodepth - Eigen dataset - Geforce TITAN XYOLOv7 e6e 1280pxTensorflow Monodepth - Eigen dataset - Tesla K40, Titan X, GTX 1080Detectron2: Mask RCNN R50 DC5 3x
Karol Majek |

YOLOv3 608x608 input

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