YOLOv3 1216x1216 input @KarolMajek
YOLOv3 1216x1216 input  @KarolMajek
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
YOLOv3 1216x1216 inputESPNetDetectron2: Mask RCNN R50 FPN 3x dconv c3-c5EfficientDet D5 - zylo117 Yet Another EfficientDet PytorchYOLOR W6 2048x1152YOLACT Resnet101-FPN 550px: YOLO Instance SegmentationYOLOR D6 2048x1152TF2 DeepLabV3+ Tensorflow 2.0YOLObile - yolov4dense 512x320MMdetection: Cascade Mask RCNN X101 32x4d FPN 20eMobile Mask RCNN with Mobilenet4K Traffic cam analysis with YOLOv3 Part1 - object detection
Karol Majek |

YOLOv3 1216x1216 input

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