datasets/classify/imagenette/

[giscus[bot]]

datasets/classify/imagenette/

Explore the ImageNette dataset, a subset of ImageNet with 10 classes for efficient training and evaluation of image classification models. Ideal for ML and CV projects.

https://docs.ultralytics.com/datasets/classify/imagenette/

[UltralyticsAssistant]

👋 Hello, thank you for your interest in Ultralytics 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

If this is a 🐛 Bug Report related to the ImageNette dataset, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question about the dataset or classification, please provide as much relevant information as possible, including details about your specific use case, dataset setup, and any training logs, and verify you are following our Tips for Best Training Results.

Join the Ultralytics community where it suits you best. For real-time chat, head to Discord 🎧. Prefer in-depth discussions? Check out Discourse. Or dive into threads on our Subreddit to share knowledge with the community.

Upgrade

If you're encountering any issues, try upgrading to the latest ultralytics package. Ensure all requirements are met in a Python>=3.8 environment with PyTorch>=1.8 preinstalled:

pip install -U ultralytics

Environments

YOLO can be run for classification tasks, including the use of ImageNette, across multiple verified environments. Please try one of the following:

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks (including classification) on macOS, Windows, and Ubuntu every 24 hours and on every commit.

This is an automated response 😊. An Ultralytics engineer will take a closer look at your post and provide further assistance soon!