computer-vision Tools

AI Engineering from Scratch is a comprehensive, open-source curriculum that provides the missing spine for AI education. It solves the problem of scattered, framework-first learning by having you implement every core algorithm—from backprop to transformers—using only math and code, before any libraries are introduced. It's designed for engineers and students who want deep, foundational understanding and the ability to build, debug, and ship AI systems with confidence.

Supervision is a Python library providing a comprehensive set of ready-to-use tools for building and deploying computer vision applications. It solves the problem of repetitive boilerplate code in tasks like object detection, tracking, and annotation, accelerating development. It's designed for AI engineers, researchers, and developers who need reliable, modular components to streamline their computer vision pipelines.

This is a comprehensive, beginner-friendly curriculum designed to demystify Artificial Intelligence. It solves the problem of AI seeming inaccessible by providing a structured, 24-lesson learning path that breaks down complex concepts. It's for absolute beginners, students, or professionals from any field who want to build a solid foundation in AI without a technical background.