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.

👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]

[TPAMI 2023] Generative Multi-Label Zero-Shot Learning

An open-source studio for prompt-driven video segmentation. Powered by SAM2 & Grounding DINO with a hybrid Cloud-Local architecture.

Multi-model vision inference platform with YOLOv8, DETR, OWL-ViT, Grounding DINO, and BLIP via FastAPI + WebSocket streaming.

👁️ Deploy YOLO11 for efficient computer vision on edge devices, optimized for the Horizon X5 RDK with a streamlined C++ codebase.

Detection of similar (redundant) questions in a question bank

CLI wrapper for GroundingDINO, packaged for Leaxer

Type the name of any object. The system finds it, segments it, estimates its 3D pose, and outputs where a robot would grasp it. Zero training data required.

OWLv2 Zero-Shot Detector Test Code