From 98a46d8e82969445cecfae2aa21929dbebd6a3de Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Tue, 22 Dec 2020 23:03:08 -0800 Subject: [PATCH] Update README.md (#1764) --- README.md | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index b60d88b..42674a7 100755 --- a/README.md +++ b/README.md @@ -18,16 +18,14 @@ This repository represents Ultralytics open-source research into future object d ## Pretrained Checkpoints -| Model | APval | APtest | AP50 | SpeedGPU | FPSGPU || params | FLOPS | +| Model | APval | APtest | AP50 | SpeedGPU | FPSGPU || params | GFLOPS | |---------- |------ |------ |------ | -------- | ------| ------ |------ | :------: | -| [YOLOv5s](https://github.com/ultralytics/yolov5/releases) | 37.0 | 37.0 | 56.2 | **2.4ms** | **416** || 7.5M | 13.2B -| [YOLOv5m](https://github.com/ultralytics/yolov5/releases) | 44.3 | 44.3 | 63.2 | 3.4ms | 294 || 21.8M | 39.4B -| [YOLOv5l](https://github.com/ultralytics/yolov5/releases) | 47.7 | 47.7 | 66.5 | 4.4ms | 227 || 47.8M | 88.1B -| [YOLOv5x](https://github.com/ultralytics/yolov5/releases) | **49.2** | **49.2** | **67.7** | 6.9ms | 145 || 89.0M | 166.4B +| [YOLOv5s](https://github.com/ultralytics/yolov5/releases) | 37.0 | 37.0 | 56.2 | **2.4ms** | **416** || 7.5M | 17.5 +| [YOLOv5m](https://github.com/ultralytics/yolov5/releases) | 44.3 | 44.3 | 63.2 | 3.4ms | 294 || 21.8M | 52.3 +| [YOLOv5l](https://github.com/ultralytics/yolov5/releases) | 47.7 | 47.7 | 66.5 | 4.4ms | 227 || 47.8M | 117.2 +| [YOLOv5x](https://github.com/ultralytics/yolov5/releases) | **49.2** | **49.2** | **67.7** | 6.9ms | 145 || 89.0M | 221.5 | | | | | | || | -| [YOLOv5x](https://github.com/ultralytics/yolov5/releases) + TTA|**50.8**| **50.8** | **68.9** | 25.5ms | 39 || 89.0M | 354.3B -| | | | | | || | -| [YOLOv3-SPP](https://github.com/ultralytics/yolov5/releases) | 45.6 | 45.5 | 65.2 | 4.5ms | 222 || 63.0M | 118.0B +| [YOLOv5x](https://github.com/ultralytics/yolov5/releases) + TTA|**50.8**| **50.8** | **68.9** | 25.5ms | 39 || 89.0M | 801.0 ** APtest denotes COCO [test-dev2017](http://cocodataset.org/#upload) server results, all other AP results denote val2017 accuracy. ** All AP numbers are for single-model single-scale without ensemble or TTA. **Reproduce mAP** by `python test.py --data coco.yaml --img 640 --conf 0.001 --iou 0.65`