datasets/classify/caltech101/

[giscus[bot]]

datasets/classify/caltech101/

Explore the widely-used Caltech-101 dataset with 9,000 images across 101 categories. Ideal for object recognition tasks in machine learning and computer vision.

https://docs.ultralytics.com/datasets/classify/caltech101/

[UltralyticsAssistant]

👋 Hello, thank you for bringing up the Caltech-101 dataset discussion 🚀! This dataset is indeed a great resource for exploring object recognition tasks and is fully integrated into the Ultralytics framework for ease of use. For more information, check out the Caltech-101 Dataset Documentation.

If your query relates to a ❓ Question, 🐛 Bug, or you're encountering issues while using this dataset, please provide a detailed description along with any logs, screenshots, or other relevant information. This helps us better understand and address your concern. If it's a bug, a minimum reproducible example will be super helpful 👍.

If you're just getting started, we recommend taking a look at our Docs. There you’ll find guides on both Python integration and CLI usage. Don’t forget to also explore our Tips for Best Training Results for optimal performance.

To ensure your environment is up to date, upgrade to the latest ultralytics package along with all dependencies in a Python>=3.8 environment:

pip install -U ultralytics

Environments

YOLO and associated datasets like Caltech-101 may be run smoothly in the following environments with preinstalled dependencies:

• 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

If you'd like to connect with the vibrant Ultralytics community, we welcome you to join us on Discord 🎧, contribute to our threads on Discourse, or share insights over on Reddit.

🚀 An Ultralytics engineer will review your discussion and respond soon. Please let us know if there's anything additional you'd like to share in the meantime!