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Add Docs glossary links (#16448)

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6
docs/en/datasets/classify/index.md
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@ -103,12 +103,12 @@ This structured approach ensures that the model can effectively learn from well-
Ultralytics supports the following datasets with automatic download:
- [Caltech 101](caltech101.md): A dataset containing images of 101 object categories for image classification tasks.
- [Caltech 101](caltech101.md): A dataset containing images of 101 object categories for [image classification](https://www.ultralytics.com/glossary/image-classification) tasks.
- [Caltech 256](caltech256.md): An extended version of Caltech 101 with 256 object categories and more challenging images.
- [CIFAR-10](cifar10.md): A dataset of 60K 32x32 color images in 10 classes, with 6K images per class.
- [CIFAR-100](cifar100.md): An extended version of CIFAR-10 with 100 object categories and 600 images per class.
- [Fashion-MNIST](fashion-mnist.md): A dataset consisting of 70,000 grayscale images of 10 fashion categories for image classification tasks.
- [ImageNet](imagenet.md): A large-scale dataset for object detection and image classification with over 14 million images and 20,000 categories.
- [ImageNet](imagenet.md): A large-scale dataset for [object detection](https://www.ultralytics.com/glossary/object-detection) and image classification with over 14 million images and 20,000 categories.
- [ImageNet-10](imagenet10.md): A smaller subset of ImageNet with 10 categories for faster experimentation and testing.
- [Imagenette](imagenette.md): A smaller subset of ImageNet that contains 10 easily distinguishable classes for quicker training and testing.
- [Imagewoof](imagewoof.md): A more challenging subset of ImageNet containing 10 dog breed categories for image classification tasks.
@ -184,7 +184,7 @@ Ultralytics YOLO offers several benefits for image classification, including:
- **Pretrained Models**: Load pretrained models like `yolov8n-cls.pt` to jump-start your training process.
- **Ease of Use**: Simple API and CLI commands for training and evaluation.
- **High Performance**: State-of-the-art accuracy and speed, ideal for real-time applications.
- **High Performance**: State-of-the-art [accuracy](https://www.ultralytics.com/glossary/accuracy) and speed, ideal for real-time applications.
- **Support for Multiple Datasets**: Seamless integration with various popular datasets like CIFAR-10, ImageNet, and more.
- **Community and Support**: Access to extensive documentation and an active community for troubleshooting and improvements.