![Comparative object detection performance by using the focal loss and... | Download Scientific Diagram Comparative object detection performance by using the focal loss and... | Download Scientific Diagram](https://www.researchgate.net/publication/345547121/figure/fig5/AS:962111056400389@1606396559130/Comparative-object-detection-performance-by-using-the-focal-loss-and-Olymp-a2-Best.png)
Comparative object detection performance by using the focal loss and... | Download Scientific Diagram
![Alexey Bochkovskiy on X: "Scaled YOLO v4 is the best neural network for object detection on MS COCO dataset: YOLOv4-P7 - 55.8% AP (Top1 accuracy), YOLOv4-tiny - 1774 FPS (TRT, b=4, FP16) Alexey Bochkovskiy on X: "Scaled YOLO v4 is the best neural network for object detection on MS COCO dataset: YOLOv4-P7 - 55.8% AP (Top1 accuracy), YOLOv4-tiny - 1774 FPS (TRT, b=4, FP16)](https://pbs.twimg.com/media/Eor0CAwW8AADkFE.jpg)
Alexey Bochkovskiy on X: "Scaled YOLO v4 is the best neural network for object detection on MS COCO dataset: YOLOv4-P7 - 55.8% AP (Top1 accuracy), YOLOv4-tiny - 1774 FPS (TRT, b=4, FP16)
![The Best Object Detection Libraries That I Work With | by Sundar Balamurugan | MLearning.ai | Medium The Best Object Detection Libraries That I Work With | by Sundar Balamurugan | MLearning.ai | Medium](https://miro.medium.com/v2/resize:fit:739/0*zBJfOmnNafCIBdnM.png)
The Best Object Detection Libraries That I Work With | by Sundar Balamurugan | MLearning.ai | Medium
![Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and YOLOv3) | by Jonathan Hui | Medium Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and YOLOv3) | by Jonathan Hui | Medium](https://miro.medium.com/v2/resize:fit:2000/1*tOkQQ5g2Tp5xWShaO4VUpQ.jpeg)