Update of the Test Result after Training 400 Epoch of PP-YOLOE s
Here is the latest comparison result:
Model
epoch
AP 0.5:0.95
AP 0.5
AP 0.75
AP small
AP medium
AP large
AR small
AR medium
AR large
PP-YOLOE s
300
43.0
59.6
47.2
26.0
47.4
58.7
45.1
70.6
81.4
PP-YOLOE s
400
43.4
60.0
47.5
25.7
47.8
59.2
43.9
70.8
81.9
YOLOv6 s
400
43.1
62.0
46.2
23.9
47.4
58.8
40.2
65.5
76.4
Feel free to raise any question or suggestion about the result~
PP-YOLOE always respect the original work of YOLO series and we'll keep working on providing more high-quality models.
Update of the Test Result after Training 400 Epoch of PP-YOLOE s
Here is the latest comparison result:
Feel free to raise any question or suggestion about the result~ PP-YOLOE always respect the original work of YOLO series and we'll keep working on providing more high-quality models.
For more reference: https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.4/configs/ppyoloe
The original issue with complete test result: https://github.com/meituan/YOLOv6/issues/140
性能对比测试数据更新(PP-YOLOE s训练400 epoch后)
2022.7.5日更新:
由于收到大家的反馈,我们训练针对PP-YOLOE s版本训练了400 epoch,以下是对比效果:
大家有任何问题欢迎在评论区中讨论提出~
PP-YOLOE始终保持着向YOLO系列的致敬,希望大家能多多尝试,提出宝贵的建议! 如需获取完整的对比测试,请参考原始issue:https://github.com/meituan/YOLOv6/issues/140