From 3760e0ed93515108fdf6b1c240aaba9272e8cb89 Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Fri, 8 Nov 2024 23:22:04 +0100 Subject: [PATCH] Fix URL (#13408) * Fix URL Signed-off-by: Glenn Jocher * Update format.yml Signed-off-by: Glenn Jocher --------- Signed-off-by: Glenn Jocher --- .github/workflows/format.yml | 13 +------------ 1 file changed, 1 insertion(+), 12 deletions(-) diff --git a/.github/workflows/format.yml b/.github/workflows/format.yml index 9f2f78e..d1935e4 100644 --- a/.github/workflows/format.yml +++ b/.github/workflows/format.yml @@ -31,7 +31,7 @@ jobs: If this is a 🐛 Bug Report, please provide a **minimum reproducible example** to help us debug it. - If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our [Tips for Best Training Results](https://docs.ultralytics.com/guides/model-training-tips//). + If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our [Tips for Best Training Results](https://docs.ultralytics.com/guides/model-training-tips/). ## Requirements @@ -56,14 +56,3 @@ jobs: YOLOv5 CI If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 [training](https://github.com/ultralytics/yolov5/blob/master/train.py), [validation](https://github.com/ultralytics/yolov5/blob/master/val.py), [inference](https://github.com/ultralytics/yolov5/blob/master/detect.py), [export](https://github.com/ultralytics/yolov5/blob/master/export.py) and [benchmarks](https://github.com/ultralytics/yolov5/blob/master/benchmarks.py) on macOS, Windows, and Ubuntu every 24 hours and on every commit. - - ## Introducing YOLOv8 🚀 - - We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - [YOLOv8](https://github.com/ultralytics/ultralytics) 🚀! - - Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects. - - Check out our [YOLOv8 Docs](https://docs.ultralytics.com/) for details and get started with: - ```bash - pip install ultralytics - ```