availai 0.5.0

A library for computer vision and machine learning

availai

availai is a Python library for managing and building computer vision workflows, including tools for dataset management, preprocessing, and seamless integration with Weights & Biases (W&B) and Roboflow. Future updates will expand functionality to include broader machine learning, deep learning, audio processing, NLP, and large language models (LLMs).

Features

Dataset Management

• Download Datasets:

  • Fetch datasets directly from Weights & Biases using artifact versioning.
  • Retrieve datasets from Roboflow in various formats (e.g., YOLOv8).

• Upload and Log:

  • Upload datasets as W&B artifacts for versioning and tracking.
  • Log dataset-related tables for visualization in W&B projects.

• Dataset Customization:

  • Create smaller dataset versions for quick testing by reducing one or more dataset splits (e.g., train, val, test).

• Copy Datasets:

  • Copy datasets to a specified location with a progress bar for visibility.

Integration with Roboflow

• Download datasets using workspace and project names.
• Support for multiple dataset formats, such as YOLOv8, COCO, and more.

Integration with Weights & Biases

• Manage datasets using W&B artifact tracking.
• Log preprocessing steps and metadata as W&B artifacts for reproducibility.

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Installation

Install availai from PyPI:

pip install availai