James

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

Images to inference with no labeling (use foundation models to train supervised models).

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

The official PyTorch implementation of L2CS-Net for gaze estimation and tracking