Merge branch 'main' into main

.github/workflows/ci.yaml

@@ -183,7 +183,7 @@ jobs:
 
   Tests:
     if: github.event_name != 'workflow_dispatch' || github.event.inputs.tests == 'true'
-    timeout-minutes: 120
+    timeout-minutes: 360
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: false

.github/workflows/docker.yaml

@@ -18,22 +18,26 @@ on:
       Dockerfile-cpu:
         type: boolean
         description: Use Dockerfile-cpu
+        default: true
       Dockerfile-arm64:
         type: boolean
         description: Use Dockerfile-arm64
+        default: true
       Dockerfile-jetson:
         type: boolean
         description: Use Dockerfile-jetson
+        default: true
       Dockerfile-python:
         type: boolean
         description: Use Dockerfile-python
+        default: true
       Dockerfile-conda:
         type: boolean
         description: Use Dockerfile-conda
+        default: true
       push:
         type: boolean
-        description: Push images to Docker Hub
-        default: true
+        description: Publish all Images to Docker Hub
 
 jobs:
   docker:

docker/Dockerfile-arm64

@@ -33,8 +33,9 @@ ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $A
 RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
 
 # Install pip packages
+# Install tensorstore from .whl because PyPI does not include aarch64 binaries
 RUN python3 -m pip install --upgrade pip wheel
-RUN pip install --no-cache-dir -e ".[export]"
+RUN pip install --no-cache-dir https://github.com/ultralytics/yolov5/releases/download/v7.0/tensorstore-0.1.59-cp311-cp311-linux_aarch64.whl -e ".[export]"
 
 # Creates a symbolic link to make 'python' point to 'python3'
 RUN ln -sf /usr/bin/python3 /usr/bin/python

docker/Dockerfile-jetson

@@ -32,12 +32,11 @@ ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $A
 RUN grep -v "opencv-python" pyproject.toml > temp.toml && mv temp.toml pyproject.toml
 
 # Download onnxruntime-gpu 1.15.1 for Jetson Linux 35.2.1 (JetPack 5.1). Other versions can be seen in https://elinux.org/Jetson_Zoo#ONNX_Runtime
-RUN wget https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl -O onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
+ADD https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
 
 # Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567
 RUN python3 -m pip install --upgrade pip wheel
 RUN pip install onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
-RUN pip install --no-cache-dir tqdm matplotlib pyyaml psutil pandas onnx
 RUN pip install --no-cache-dir -e ".[export]"
 
 

docs/en/hub/app/android.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Experience rapid object detection on your Android device with the Ultralytics YOLO model app. Click to learn more!.
-keywords: Ultralytics, YOLO, Android App, real-time object detection, TensorFlow Lite, hardware acceleration, FP16, INT8, GPU
+description: Discover real-time object detection on your Android with the Ultralytics App using optimized YOLO models.
+keywords: Ultralytics, YOLO, Android app, real-time object detection, TensorFlow Lite, model optimization, AI mobile application
 ---
 
 # Ultralytics Android App: Real-time Object Detection with YOLO Models

docs/en/hub/app/index.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Unlock the power of YOLO models on iOS & Android with the Ultralytics HUB App. Experience optimized performance on-the-go!.
-keywords: Ultralytics HUB App, YOLOv5, YOLOv8, mobile object detection, iOS, Android, real-time image recognition
+description: Unlock real-time YOLO model detection directly on your mobile! Discover apps for iOS and Android with YOLOv5 and YOLOv8.
+keywords: Ultralytics HUB App, YOLOv5, YOLOv8, real-time detection, mobile AI, iOS, Android, Apple Neural Engine, Android GPU, Ultralytics
 ---
 
 # Ultralytics HUB App

docs/en/hub/app/ios.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Transform your iOS device into a powerful object detection tool with the Ultralytics iOS App, powered by YOLO models.
-keywords: Ultralytics, iOS app, YOLO, object detection, real-time, iPhone, iPad, quantization, Apple Neural Engine, Core ML
+description: Discover real-time object detection on iOS devices using powerful YOLO models, optimized via Apple Neural Engine.
+keywords: Ultralytics, iOS app, YOLO models, real-time detection, object detection, iPhone, iPad, Apple Neural Engine, Core ML, quantization, FP16, INT8
 ---
 
 # Ultralytics iOS App: Real-time Object Detection with YOLO Models

docs/en/hub/cloud-training.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Unlock one-click cloud training for your models on Ultralytics HUB Pro. Streamline your AI workflow today!.
-keywords: Ultralytics HUB, cloud training, AI model training, Pro users, easy model training, Ultralytics cloud, AI workflow
+description: Transform model training with Ultralytics HUB Cloud. Efficient, simple cloud-based training for Pro users.
+keywords: Ultralytics HUB, cloud training, model training, Pro users, cloud-based ML, machine learning, AI model training
 ---
 
 # Ultralytics HUB Cloud Training

docs/en/hub/datasets.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Learn how Ultralytics HUB datasets streamline your ML workflow. Upload, format, validate, access, share, edit or delete datasets for Ultralytics YOLO model training.
-keywords: Ultralytics, HUB datasets, YOLO model training, upload datasets, dataset validation, ML workflow, share datasets
+description: Discover how to seamlessly upload, manage, and leverage datasets for model training with Ultralytics HUB.
+keywords: Ultralytics HUB datasets, upload datasets, manage datasets, dataset management, model training, YOLOv5 datasets, YOLOv8 datasets
 ---
 
 # Ultralytics HUB Datasets
@@ -164,4 +164,4 @@ Navigate to the Dataset page of the dataset you want to delete, open the dataset
 
     If you change your mind, you can restore the dataset from the [Trash](https://hub.ultralytics.com/trash) page.
 
-    ![Ultralytics HUB screenshot of the Trash page with an arrow pointing to Trash button in the sidebar and one to the Restore option of one of the datasets](https://github.com/ultralytics/assets/main/docs/hub/datasets/hub_delete_dataset_3.jpg)
+    ![Ultralytics HUB screenshot of the Trash page with an arrow pointing to Trash button in the sidebar and one to the Restore option of one of the datasets](https://github.com/ultralytics/assets/main/docs/hub/datasets/hub_delete_dataset_3.jpg)

docs/en/hub/index.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Discover Ultralytics HUB for seamless training and deploying of YOLOv5 and YOLOv8 models. Start your AI journey with ease!.
-keywords: Ultralytics HUB, YOLO model training, YOLOv5, YOLOv8, model deployment, AI, machine learning
+description: Launch into AI with Ultralytics HUB! Train, monitor, and deploy YOLO models easily. Start your journey in AI model training today.
+keywords: Ultralytics HUB, YOLOv5, YOLOv8, model training, AI platform, object detection, deploy models, train YOLO models
 ---
 
 # Ultralytics HUB

docs/en/hub/inference-api.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Effortlessly run AI model inferences with Ultralytics HUB Inference API. Perfect for developers!.
-keywords: Ultralytics HUB, Inference API, YOLO, REST API, machine learning, AI model inference, remote inference
+description: Effortlessly run YOLO model inferences with Ultralytics HUB Inference API. No local setup required!
+keywords: Ultralytics HUB, Inference API, YOLO, model inference, REST API, machine learning, AI model deployment
 ---
 
 # Ultralytics HUB Inference API

docs/en/hub/models.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Streamline your AI model training on custom datasets with Ultralytics HUB. Efficient, user-friendly, and powerful.
-keywords: Ultralytics HUB, AI model training, custom datasets, YOLOv8, real-time updates, model deployment, Ultralytics
+description: Discover how to efficiently train vision AI models using the user-friendly Ultralytics HUB with YOLOv8.
+keywords: train AI models, Ultralytics HUB, YOLOv8, custom datasets, vision AI, model training
 ---
 
 # Ultralytics HUB Models
@@ -294,4 +294,4 @@ Navigate to the Model page of the model you want to delete, open the model actio
 
     If you change your mind, you can restore the model from the [Trash](https://hub.ultralytics.com/trash) page.
 
-    ![Ultralytics HUB screenshot of the Trash page with an arrow pointing to the Restore option of one of the models](https://github.com/ultralytics/assets/main/docs/hub/models/hub_delete_model_3.jpg)
+    ![Ultralytics HUB screenshot of the Trash page with an arrow pointing to the Restore option of one of the models](https://github.com/ultralytics/assets/main/docs/hub/models/hub_delete_model_3.jpg)

docs/en/hub/pro.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Unlock premium features with Ultralytics HUB Pro! Get 200GB storage, cloud training, enhanced API limits, and more.
-keywords: Ultralytics HUB Pro, upgrade, premium features, cloud training, team collaboration, API limits
+description: Unlock premium features with the Ultralytics HUB Pro Plan! Get 200GB storage, cloud training, and more.
+keywords: Ultralytics HUB Pro, cloud training, inference API, collaboration, Pro Plan benefits, upgrade HUB subscription
 ---
 
 # Ultralytics HUB Pro
@@ -57,4 +57,4 @@ Next, set the amount you want to top-up.
 
 That's it!
 
-![Ultralytics HUB screenshot of the Payment Successful dialog](https://github.com/ultralytics/assets/main/docs/hub/pro/hub_pro_account_balance_3.jpg)
+![Ultralytics HUB screenshot of the Payment Successful dialog](https://github.com/ultralytics/assets/main/docs/hub/pro/hub_pro_account_balance_3.jpg)

docs/en/hub/projects.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Effortlessly consolidate, manage, and enhance your AI models with Ultralytics HUB projects. Start now!.
-keywords: Ultralytics HUB, manage AI models, project creation, model comparison, model management
+description: Effortlessly consolidate, manage, and enhance your AI models with Ultralytics HUB projects. Start now!
+keywords: Ultralytics HUB, model management, create project, share project, edit project, delete project, model comparison
 ---
 
 # Ultralytics HUB Projects
@@ -178,4 +178,4 @@ Navigate to the Project page of the project where the model you want to mode is
 
 Select the project you want to transfer the model to and click **Save**.
 
-![Ultralytics HUB screenshot of the Transfer Model dialog with an arrow pointing to the dropdown and one to the Save button](https://github.com/ultralytics/assets/main/docs/hub/projects/hub_transfer_models_3.jpg)
+![Ultralytics HUB screenshot of the Transfer Model dialog with an arrow pointing to the dropdown and one to the Save button](https://github.com/ultralytics/assets/main/docs/hub/projects/hub_transfer_models_3.jpg)

docs/en/hub/quickstart.md

@@ -1,7 +1,7 @@
 ---
 comments: true
 description: Easily train YOLO models with the Ultralytics HUB. Quick sign-up, intuitive use, and ready-to-deploy models!.
-keywords: Ultralytics HUB, YOLO Quickstart, train YOLO model, pre-trained models, deploy models, Ultralytics HUB App
+keywords: Ultralytics HUB, YOLO models, quickstart, train YOLO, easy signup, deploy models, Ultralytics
 ---
 
 # Ultralytics HUB Quickstart
@@ -98,4 +98,4 @@ You can report a bug, request a feature, or ask a question on <a href="https://g
 
 ??? tip "Tip"
 
-    You can join our <a href="https://ultralytics.com/discord">Discord</a> community for questions and discussions!
+    You can join our <a href="https://ultralytics.com/discord">Discord</a> community for questions and discussions!