Object Detection
YOLOv7
Model |
State |
Test Size |
\(AP^{val}\) |
\(AP_{50}^{val}\) |
\(AP_{75}^{val}\) |
Param. |
FLOPs |
|---|---|---|---|---|---|---|---|
🔧 |
640 |
51.4% |
69.7% |
55.9% |
|||
🔧 |
640 |
53.1% |
71.2% |
57.8% |
|||
🔧 |
1280 |
54.9% |
72.6% |
60.1% |
|||
🔧 |
1280 |
56.0% |
73.5% |
61.2% |
|||
🔧 |
1280 |
56.6% |
74.0% |
61.8% |
|||
🔧 |
1280 |
56.8% |
74.4% |
62.1% |
YOLOv9
Model |
State |
Test Size |
\(AP^{val}\) |
\(AP_{50}^{val}\) |
\(AP_{75}^{val}\) |
Param. |
FLOPs |
|---|---|---|---|---|---|---|---|
🔧 |
640 |
||||||
✅ |
640 |
46.8% |
63.4% |
50.7% |
7.1M |
26.4G |
|
✅ |
640 |
51.4% |
68.1% |
56.1% |
20.0M |
76.3G |
|
✅ |
640 |
53.0% |
70.2% |
57.8% |
25.3M |
102.1G |
|
🔧 |
640 |
55.6% |
72.8% |
60.6% |
57.3M |
189.0G |
graph LR
subgraph BackBone
B1-->B2;
B2-->B3;
B3-->B4;
B4-->B5;
end
subgraph FPN
B3-->N3;
B4-->N4;
B5-->N5;
N5-->N4;
N4-->N3;
end
subgraph PAN
P3-->P4;
P4-->P5;
N3-->P3;
N4-->P4;
N5-->P5;
end
P3-->Main_Head;
P4-->Main_Head;
P5-->Main_Head;
subgraph Aux
B3-->R3;
B4-->R4;
B5-->R5;
R3-->A3;
R4-->A3;
R4-->A4;
R5-->A3;
R5-->A4;
R5-->A5;
end
A3-->Auxiliary_Head;
A4-->Auxiliary_Head;
A5-->Auxiliary_Head;