Ankle/yolov5_birdproject
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Update Comet hyperlinks (#10500)

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* Update README.md

Signed-off-by: nerdyespresso <106761627+nerdyespresso@users.noreply.github.com>

* Update README.md

Signed-off-by: nerdyespresso <106761627+nerdyespresso@users.noreply.github.com>

* Update README.md

Signed-off-by: nerdyespresso <106761627+nerdyespresso@users.noreply.github.com>

* Update README.md

Signed-off-by: nerdyespresso <106761627+nerdyespresso@users.noreply.github.com>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update README.md

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update README.md

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Signed-off-by: nerdyespresso <106761627+nerdyespresso@users.noreply.github.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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nerdyespressoandGlenn Jocher authored and GitHub committed 2022-12-15 13:56:42 +01:00
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@@ -264,7 +264,7 @@ python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml -
|Roboflow|ClearML ⭐ NEW|Comet ⭐ NEW|Deci ⭐ NEW|
|:-:|:-:|:-:|:-:|
|Label and export your custom datasets directly to YOLOv5 for training with [Roboflow](https://roboflow.com/?ref=ultralytics)|Automatically track, visualize and even remotely train YOLOv5 using [ClearML](https://cutt.ly/yolov5-readme-clearml) (open-source!)|Free forever, [Comet](https://bit.ly/yolov5-readme-comet) lets you save YOLOv5 models, resume training, and interactively visualise and debug predictions|Automatically compile and quantize YOLOv5 for better inference performance in one click at [Deci](https://bit.ly/yolov5-deci-platform)|
|Label and export your custom datasets directly to YOLOv5 for training with [Roboflow](https://roboflow.com/?ref=ultralytics)|Automatically track, visualize and even remotely train YOLOv5 using [ClearML](https://cutt.ly/yolov5-readme-clearml) (open-source!)|Free forever, [Comet](https://bit.ly/yolov5-readme-comet2) lets you save YOLOv5 models, resume training, and interactively visualise and debug predictions|Automatically compile and quantize YOLOv5 for better inference performance in one click at [Deci](https://bit.ly/yolov5-deci-platform)|
## <div align="center">Ultralytics HUB</div>