Merge pull request #4345 from ovh/ai-yolov5-fix-404

[AI tutorials fix] - update broken link

Author: OVH-Team-Guides

pages/platform/ai/deploy_tuto_04_flask_yolov5/guide.de-de.md

@@ -6,10 +6,10 @@ section: AI Deploy - Tutorials
 order: 04
 routes:
     canonical: 'https://docs.ovh.com/gb/en/publiccloud/ai/deploy/web-service-yolov5/'
-updated: 2023-01-31
+updated: 2023-03-10
 ---
 
-**Last updated 31st January, 2023.**
+**Last updated 10th March, 2023.**
 
 > [!primary]
 >
@@ -33,7 +33,7 @@ For more information on how to train YOLOv5 on a custom dataset, refer to the fo
 -   a [user for AI Deploy](https://docs.ovh.com/de/publiccloud/ai/users)
 -   [Docker](https://www.docker.com/get-started) installed on your local computer
 -   some knowledge about building image and [Dockerfile](https://docs.docker.com/engine/reference/builder/)
--   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/notebook_object_detection_yolov5.ipynb)
+-   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/yolov5/notebook_object_detection_yolov5_coco.ipynb)
 
 ## Instructions
 

pages/platform/ai/deploy_tuto_04_flask_yolov5/guide.en-asia.md

@@ -4,10 +4,10 @@ slug: deploy/web-service-yolov5
 excerpt: How to deploy a web service for YOLOv5 using your own weights with Flask
 section: AI Deploy - Tutorials
 order: 04
-updated: 2023-01-31
+updated: 2023-03-10
 ---
 
-**Last updated 31st January, 2023.**
+**Last updated 10th March, 2023.**
 
 > [!primary]
 >
@@ -31,7 +31,7 @@ For more information on how to train YOLOv5 on a custom dataset, refer to the fo
 -   a [user for AI Deploy](https://docs.ovh.com/asia/en/publiccloud/ai/users)
 -   [Docker](https://www.docker.com/get-started) installed on your local computer
 -   some knowledge about building image and [Dockerfile](https://docs.docker.com/engine/reference/builder/)
--   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/notebook_object_detection_yolov5.ipynb)
+-   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/yolov5/notebook_object_detection_yolov5_coco.ipynb)
 
 ## Instructions
 

pages/platform/ai/deploy_tuto_04_flask_yolov5/guide.en-au.md

@@ -4,10 +4,10 @@ slug: deploy/web-service-yolov5
 excerpt: How to deploy a web service for YOLOv5 using your own weights with Flask
 section: AI Deploy - Tutorials
 order: 04
-updated: 2023-01-31
+updated: 2023-03-10
 ---
 
-**Last updated 31st January, 2023.**
+**Last updated 10th March, 2023.**
 
 > [!primary]
 >
@@ -31,7 +31,7 @@ For more information on how to train YOLOv5 on a custom dataset, refer to the fo
 -   a [user for AI Deploy](https://docs.ovh.com/au/en/publiccloud/ai/users)
 -   [Docker](https://www.docker.com/get-started) installed on your local computer
 -   some knowledge about building image and [Dockerfile](https://docs.docker.com/engine/reference/builder/)
--   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/notebook_object_detection_yolov5.ipynb)
+-   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/yolov5/notebook_object_detection_yolov5_coco.ipynb)
 
 ## Instructions
 

pages/platform/ai/deploy_tuto_04_flask_yolov5/guide.en-ca.md

@@ -4,10 +4,10 @@ slug: deploy/web-service-yolov5
 excerpt: How to deploy a web service for YOLOv5 using your own weights with Flask
 section: AI Deploy - Tutorials
 order: 04
-updated: 2023-01-31
+updated: 2023-03-10
 ---
 
-**Last updated 31st January, 2023.**
+**Last updated 10th March, 2023.**
 
 > [!primary]
 >
@@ -31,7 +31,7 @@ For more information on how to train YOLOv5 on a custom dataset, refer to the fo
 -   a [user for AI Deploy](https://docs.ovh.com/ca/en/publiccloud/ai/users)
 -   [Docker](https://www.docker.com/get-started) installed on your local computer
 -   some knowledge about building image and [Dockerfile](https://docs.docker.com/engine/reference/builder/)
--   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/notebook_object_detection_yolov5.ipynb)
+-   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/yolov5/notebook_object_detection_yolov5_coco.ipynb)
 
 ## Instructions
 

pages/platform/ai/deploy_tuto_04_flask_yolov5/guide.en-gb.md

@@ -4,10 +4,10 @@ slug: deploy/web-service-yolov5
 excerpt: How to deploy a web service for YOLOv5 using your own weights with Flask
 section: AI Deploy - Tutorials
 order: 04
-updated: 2023-01-31
+updated: 2023-03-10
 ---
 
-**Last updated 31st January, 2023.**
+**Last updated 10th March, 2023.**
 
 > [!primary]
 >
@@ -31,7 +31,7 @@ For more information on how to train YOLOv5 on a custom dataset, refer to the fo
 -   a [user for AI Deploy](https://docs.ovh.com/gb/en/publiccloud/ai/users)
 -   [Docker](https://www.docker.com/get-started) installed on your local computer
 -   some knowledge about building image and [Dockerfile](https://docs.docker.com/engine/reference/builder/)
--   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/notebook_object_detection_yolov5.ipynb)
+-   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/yolov5/notebook_object_detection_yolov5_coco.ipynb)
 
 ## Instructions
 

pages/platform/ai/deploy_tuto_04_flask_yolov5/guide.en-ie.md

@@ -4,10 +4,10 @@ slug: deploy/web-service-yolov5
 excerpt: How to deploy a web service for YOLOv5 using your own weights with Flask
 section: AI Deploy - Tutorials
 order: 04
-updated: 2023-01-31
+updated: 2023-03-10
 ---
 
-**Last updated 31st January, 2023.**
+**Last updated 10th March, 2023.**
 
 > [!primary]
 >
@@ -31,7 +31,7 @@ For more information on how to train YOLOv5 on a custom dataset, refer to the fo
 -   a [user for AI Deploy](https://docs.ovh.com/ie/en/publiccloud/ai/users)
 -   [Docker](https://www.docker.com/get-started) installed on your local computer
 -   some knowledge about building image and [Dockerfile](https://docs.docker.com/engine/reference/builder/)
--   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/notebook_object_detection_yolov5.ipynb)
+-   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/yolov5/notebook_object_detection_yolov5_coco.ipynb)
 
 ## Instructions
 

pages/platform/ai/deploy_tuto_04_flask_yolov5/guide.en-sg.md

@@ -4,10 +4,10 @@ slug: deploy/web-service-yolov5
 excerpt: How to deploy a web service for YOLOv5 using your own weights with Flask
 section: AI Deploy - Tutorials
 order: 04
-updated: 2023-01-31
+updated: 2023-03-10
 ---
 
-**Last updated 31st January, 2023.**
+**Last updated 10th March, 2023.**
 
 > [!primary]
 >
@@ -31,7 +31,7 @@ For more information on how to train YOLOv5 on a custom dataset, refer to the fo
 -   a [user for AI Deploy](https://docs.ovh.com/sg/en/publiccloud/ai/users)
 -   [Docker](https://www.docker.com/get-started) installed on your local computer
 -   some knowledge about building image and [Dockerfile](https://docs.docker.com/engine/reference/builder/)
--   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/notebook_object_detection_yolov5.ipynb)
+-   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/yolov5/notebook_object_detection_yolov5_coco.ipynb)
 
 ## Instructions
 

pages/platform/ai/deploy_tuto_04_flask_yolov5/guide.en-us.md

@@ -4,10 +4,10 @@ slug: deploy/web-service-yolov5
 excerpt: How to deploy a web service for YOLOv5 using your own weights with Flask
 section: AI Deploy - Tutorials
 order: 04
-updated: 2023-01-31
+updated: 2023-03-10
 ---
 
-**Last updated 31st January, 2023.**
+**Last updated 10th March, 2023.**
 
 > [!primary]
 >
@@ -31,7 +31,7 @@ For more information on how to train YOLOv5 on a custom dataset, refer to the fo
 -   a [user for AI Deploy](https://docs.ovh.com/us/en/publiccloud/ai/users)
 -   [Docker](https://www.docker.com/get-started) installed on your local computer
 -   some knowledge about building image and [Dockerfile](https://docs.docker.com/engine/reference/builder/)
--   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/notebook_object_detection_yolov5.ipynb)
+-   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/yolov5/notebook_object_detection_yolov5_coco.ipynb)
 
 ## Instructions
 

pages/platform/ai/deploy_tuto_04_flask_yolov5/guide.es-es.md

@@ -6,10 +6,10 @@ section: AI Deploy - Tutorials
 order: 04
 routes:
     canonical: 'https://docs.ovh.com/gb/en/publiccloud/ai/deploy/web-service-yolov5/'
-updated: 2023-01-31
+updated: 2023-03-10
 ---
 
-**Last updated 31st January, 2023.**
+**Last updated 10th March, 2023.**
 
 > [!primary]
 >
@@ -33,7 +33,7 @@ For more information on how to train YOLOv5 on a custom dataset, refer to the fo
 -   a [user for AI Deploy](https://docs.ovh.com/es/publiccloud/ai/users)
 -   [Docker](https://www.docker.com/get-started) installed on your local computer
 -   some knowledge about building image and [Dockerfile](https://docs.docker.com/engine/reference/builder/)
--   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/notebook_object_detection_yolov5.ipynb)
+-   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/yolov5/notebook_object_detection_yolov5_coco.ipynb)
 
 ## Instructions
 

pages/platform/ai/deploy_tuto_04_flask_yolov5/guide.es-us.md

@@ -6,10 +6,10 @@ section: AI Deploy - Tutorials
 order: 04
 routes:
     canonical: 'https://docs.ovh.com/gb/en/publiccloud/ai/deploy/web-service-yolov5/'
-updated: 2023-01-31
+updated: 2023-03-10
 ---
 
-**Last updated 31st January, 2023.**
+**Last updated 10th March, 2023.**
 
 > [!primary]
 >
@@ -33,7 +33,7 @@ For more information on how to train YOLOv5 on a custom dataset, refer to the fo
 -   a [user for AI Deploy](https://docs.ovh.com/us/es/publiccloud/ai/users)
 -   [Docker](https://www.docker.com/get-started) installed on your local computer
 -   some knowledge about building image and [Dockerfile](https://docs.docker.com/engine/reference/builder/)
--   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/notebook_object_detection_yolov5.ipynb)
+-   your weights obtained from training a YOLOv5 model on your dataset (refer to the *"Export trained weights for future inference"* part of the [notebook for YOLOv5](https://github.com/ovh/ai-training-examples/blob/main/notebooks/computer-vision/object-detection/miniconda/yolov5/notebook_object_detection_yolov5_coco.ipynb)
 
 ## Instructions