---
id: torchvision
version: "0.28.0"
license: BSD
license_treatment: permissive
maintenance: active
---

# torchvision — image and video datasets and models for torch deep learning

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install torchvision
uv add torchvision
poetry add torchvision

## Description

# torchvision

[![total torchvision downloads](https://pepy.tech/badge/torchvision)](https://pepy.tech/project/torchvision)
[![documentation](https://img.shields.io/badge/dynamic/json.svg?label=docs&url=https%3A%2F%2Fpypi.org%2Fpypi%2Ftorchvision%2Fjson&query=%24.info.version&colorB=brightgreen&prefix=v)](https://pytorch.org/vision/stable/index.html)

The torchvision package consists of popular datasets, model architectures, and common image transformations for computer
vision.

## Installation

Please refer to the [official
instructions](https://pytorch.org/get-started/locally/) to install the stable
versions of `torch` and `torchvision` on your system.

To build source, refer to our [contributing
page](https://github.com/pytorch/vision/blob/main/CONTRIBUTING.md#development-installation).

The following is the corresponding `torchvision` versions and supported Python
versions.

| `torch`            | `torchvision`      | Python              |
| ------------------ | ------------------ | ------------------- |
| `main` / `nightly` | `main` / `nightly` | `>=3.10`, `<=3.14`  |
| `2.12`             | `0.27`             | `>=3.10`, `<=3.14`  |
| `2.11`             | `0.26`...

## AI interpretation — verify before relying

Provides popular datasets, model architectures, and image transformations for computer vision tasks with PyTorch.

Verdict: Actively maintained top-1000 package with no known vulnerabilities and permissive BSD licensing. Medium install friction is typical for ML libraries with compiled dependencies. Suitable for production computer vision work when torch version alignment is respected.

[View on SkillFed](https://skillfed.io/packages/torchvision) · [View on PyPI](https://pypi.org/project/torchvision/)