Description:
Datasets, transforms, and models for computer vision
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Type: Formula
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Latest Version: 0.24.1@0
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Tracked Since: Oct 28, 2025
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Links:
Homepage |
@PyTorch |
formulae.brew.sh
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Category: Ai ml
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Tags:
pytorch
computer-vision
deep-learning
ai
ml
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Install:
brew install torchvision
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About:
Torchvision is the official PyTorch library for computer vision. It provides widely-used datasets, reference implementations of state-of-the-art models, and common image transformations. It accelerates the development of vision applications by integrating seamlessly with the PyTorch ecosystem.
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Key Features:
- Pre-trained models (ResNet, VGG, MobileNet, etc.)
- Standard computer vision datasets (ImageNet, COCO, CIFAR)
- Composable image transformations and data augmentation utilities
- Reference implementations for SOTA research models
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Use Cases:
- Training custom image classification models
- Object detection and segmentation pipelines
- Data preprocessing and augmentation for deep learning workflows
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Alternatives:
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OpenCV
– OpenCV is a general-purpose image processing library, whereas torchvision is specifically designed for deep learning workflows within PyTorch.
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TensorFlow Datasets (TFDS)
– TFDS serves a similar role for the TensorFlow ecosystem, providing datasets and preprocessing utilities.
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