YOLO11 Tasks, Modes, Usage, Macros and Solutions Updates (#16593)
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
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@ -16,7 +16,7 @@ The [Caltech-256](https://data.caltech.edu/records/nyy15-4j048) dataset is an ex
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</iframe>
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<br>
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<strong>Watch:</strong> How to Train [Image Classification](https://www.ultralytics.com/glossary/image-classification) Model using Caltech-256 Dataset with Ultralytics HUB
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<strong>Watch:</strong> How to Train <a href="https://www.ultralytics.com/glossary/image-classification">Image Classification</a> Model using Caltech-256 Dataset with Ultralytics HUB
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</p>
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## Key Features
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@ -16,7 +16,7 @@ The [CIFAR-10](https://www.cs.toronto.edu/~kriz/cifar.html) (Canadian Institute
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allowfullscreen>
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</iframe>
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<br>
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<strong>Watch:</strong> How to Train an [Image Classification](https://www.ultralytics.com/glossary/image-classification) Model with CIFAR-10 Dataset using Ultralytics YOLOv8
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<strong>Watch:</strong> How to Train an <a href="https://www.ultralytics.com/glossary/image-classification">Image Classification</a> Model with CIFAR-10 Dataset using Ultralytics YOLOv8
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</p>
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## Key Features
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@ -16,7 +16,7 @@ The [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset is
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allowfullscreen>
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</iframe>
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<br>
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<strong>Watch:</strong> How to do [Image Classification](https://www.ultralytics.com/glossary/image-classification) on Fashion MNIST Dataset using Ultralytics YOLOv8
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<strong>Watch:</strong> How to do <a href="https://www.ultralytics.com/glossary/image-classification">Image Classification</a> on Fashion MNIST Dataset using Ultralytics YOLOv8
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</p>
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## Key Features
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@ -16,7 +16,7 @@ keywords: Open Images V7, Google dataset, computer vision, YOLOv8 models, object
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</iframe>
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<br>
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<strong>Watch:</strong> [Object Detection](https://www.ultralytics.com/glossary/object-detection) using OpenImagesV7 Pretrained Model
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<strong>Watch:</strong> <a href="https://www.ultralytics.com/glossary/object-detection">Object Detection</a> using OpenImagesV7 Pretrained Model
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</p>
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## Open Images V7 Pretrained Models
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@ -18,7 +18,7 @@ Whether you're working on automotive research, developing AI solutions for vehic
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allowfullscreen>
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</iframe>
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<br>
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<strong>Watch:</strong> Carparts [Instance Segmentation](https://www.ultralytics.com/glossary/instance-segmentation) Using Ultralytics HUB
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<strong>Watch:</strong> Carparts <a href="https://www.ultralytics.com/glossary/instance-segmentation">Instance Segmentation</a> Using Ultralytics HUB
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</p>
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## Dataset Structure
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