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Models/YOLOv4-608

YOLOv4-608

Reported on 30 benchmarks across 5 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology24 results

3DonCOCO test-dev
AP50· uses extra data· 2020-04-23
65.7
best: 95 (ViTPose (ViTAE-G, ensemble))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
3DonCOCO test-dev
AP75· uses extra data· 2020-04-23
47.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
3DonCOCO test-dev
APL· uses extra data· 2020-04-23
53.3
best: 86.5 (PoseBH-H)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
3DonCOCO test-dev
APM· uses extra data· 2020-04-23
46.7
best: 83.8 (4xRSN-50 (ensemble))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
3DonCOCO test-dev
APS· uses extra data· 2020-04-23
26.7
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
3DonCOCO test-dev
box mAP· uses extra data· 2020-04-23
43.5
best: 66 (Co-DETR)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D ClassificationonCOCO test-dev
AP50· uses extra data· 2020-04-23
65.7
best: 82.1 (Plain-DETR (Swin-L))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D ClassificationonCOCO test-dev
AP75· uses extra data· 2020-04-23
47.3
best: 71.7 (EVA)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D ClassificationonCOCO test-dev
APL· uses extra data· 2020-04-23
53.3
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D ClassificationonCOCO test-dev
APM· uses extra data· 2020-04-23
46.7
best: 67.7 (EVA)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D ClassificationonCOCO test-dev
APS· uses extra data· 2020-04-23
26.7
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D ClassificationonCOCO test-dev
box mAP· uses extra data· 2020-04-23
43.5
best: 66 (Co-DETR)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D Object DetectiononCOCO test-dev
AP50· uses extra data· 2020-04-23
65.7
best: 82.1 (Plain-DETR (Swin-L))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D Object DetectiononCOCO test-dev
AP75· uses extra data· 2020-04-23
47.3
best: 71.7 (EVA)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D Object DetectiononCOCO test-dev
APL· uses extra data· 2020-04-23
53.3
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D Object DetectiononCOCO test-dev
APM· uses extra data· 2020-04-23
46.7
best: 67.7 (EVA)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D Object DetectiononCOCO test-dev
APS· uses extra data· 2020-04-23
26.7
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
2D Object DetectiononCOCO test-dev
box mAP· uses extra data· 2020-04-23
43.5
best: 66 (Co-DETR)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
16konCOCO test-dev
AP50· uses extra data· 2020-04-23
65.7
best: 82.1 (Plain-DETR (Swin-L))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
16konCOCO test-dev
AP75· uses extra data· 2020-04-23
47.3
best: 71.7 (EVA)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
16konCOCO test-dev
APL· uses extra data· 2020-04-23
53.3
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
16konCOCO test-dev
APM· uses extra data· 2020-04-23
46.7
best: 67.7 (EVA)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
16konCOCO test-dev
APS· uses extra data· 2020-04-23
26.7
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
16konCOCO test-dev
box mAP· uses extra data· 2020-04-23
43.5
best: 66 (Co-DETR)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934

Computer Vision6 results

Object DetectiononCOCO test-dev
AP50· uses extra data· 2020-04-23
65.7
best: 82.1 (Plain-DETR (Swin-L))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
Object DetectiononCOCO test-dev
AP75· uses extra data· 2020-04-23
47.3
best: 71.7 (EVA)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
Object DetectiononCOCO test-dev
APL· uses extra data· 2020-04-23
53.3
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
Object DetectiononCOCO test-dev
APM· uses extra data· 2020-04-23
46.7
best: 67.7 (EVA)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
Object DetectiononCOCO test-dev
APS· uses extra data· 2020-04-23
26.7
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934
Object DetectiononCOCO test-dev
box mAP· uses extra data· 2020-04-23
43.5
best: 66 (Co-DETR)
YOLOv4: Optimal Speed and Accuracy of Object Detection arXiv:2004.10934