From 2a33c7e7cac96bc1f027cb7d9e1129921f1bcdaf Mon Sep 17 00:00:00 2001 From: Niels Date: Sun, 2 Jun 2024 12:38:26 +0200 Subject: [PATCH] Update link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f348a062..c054f199 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ Over the past years, YOLOs have emerged as the predominant paradigm in the field ## Notes - 2024/05/31: Please use the [exported format](https://github.com/THU-MIG/yolov10?tab=readme-ov-file#export) for benchmark. In the non-exported format, e.g., pytorch, the speed of YOLOv10 is biased because the unnecessary `cv2` and `cv3` operations in the `v10Detect` are executed during inference. - 2024/05/30: We provide [some clarifications and suggestions](https://github.com/THU-MIG/yolov10/issues/136) for detecting smaller objects or objects in the distance with YOLOv10. Thanks to [SkalskiP](https://github.com/SkalskiP)! -- 2024/05/27: We have updated the [checkpoints](https://github.com/THU-MIG/yolov10/releases/tag/v1.1) with other attributes, like class names and training args, for ease of use. +- 2024/05/27: We have updated the [checkpoints](https://huggingface.co/collections/jameslahm/yolov10-665b0d90b0b5bb85129460c2) with other attributes, like class names and training args, for ease of use. ## UPDATES 🔥 - 2024/06/01: Thanks to [NielsRogge](https://github.com/NielsRogge) and [AK](https://x.com/_akhaliq) for hosting the models on the HuggingFace Hub!