HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Docs Prettier reformat (#13483)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher 2024-06-10 12:59:01 +02:00 • committed by GitHub
parent 2f2e81614f
commit e5185ccf63
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
90 changed files with 763 additions and 742 deletions
Download patch file Download diff file Expand all files Collapse all files

8
docs/en/models/yolov10.md
View file

@ -45,11 +45,11 @@ YOLOv10 comes in various model scales to cater to different application needs:
YOLOv10 outperforms previous YOLO versions and other state-of-the-art models in terms of accuracy and efficiency. For example, YOLOv10-S is 1.8x faster than RT-DETR-R18 with similar AP on the COCO dataset, and YOLOv10-B has 46% less latency and 25% fewer parameters than YOLOv9-C with the same performance.
| Model | Input Size | AP<sup>val</sup> | FLOPs (G) | Latency (ms) |
|-----------|------------|------------------|-----------|--------------|
| YOLOv10-N | 640 | 38.5 | **6.7** | **1.84** |
| --------- | ---------- | ---------------- | --------- | ------------ |
| YOLOv10-N | 640 | 38.5 | **6.7** | **1.84** |
| YOLOv10-S | 640 | 46.3 | 21.6 | 2.49 |
| YOLOv10-M | 640 | 51.1 | 59.1 | 4.74 |
| YOLOv10-B | 640 | 52.5 | 92.0 | 5.74 |
| YOLOv10-B | 640 | 52.5 | 92.0 | 5.74 |
| YOLOv10-L | 640 | 53.2 | 120.3 | 7.28 |
| YOLOv10-X | 640 | **54.4** | 160.4 | 10.70 |
@ -91,7 +91,7 @@ Compared to other state-of-the-art detectors:
Here is a detailed comparison of YOLOv10 variants with other state-of-the-art models:
| Model | Params (M) | FLOPs (G) | APval (%) | Latency (ms) | Latency (Forward) (ms) |
|---------------|------------|-----------|-----------|--------------|------------------------|
| ------------- | ---------- | --------- | --------- | ------------ | ---------------------- |
| YOLOv6-3.0-N | 4.7 | 11.4 | 37.0 | 2.69 | **1.76** |
| Gold-YOLO-N | 5.6 | 12.1 | **39.6** | 2.92 | 1.82 |
| YOLOv8-N | 3.2 | 8.7 | 37.3 | 6.16 | 1.77 |