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automatic-labeling-system

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roboflow / notebooks

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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.

machine-learning tutorial deep-neural-networks computer-vision deep-learning pytorch image-classification object-detection image-segmentation vlm google-colab zero-shot-detection yolov5 zero-shot-classification yolov8 open-vocabulary-detection open-vocabulary-segmentation automatic-labeling-system qwen paligemma
  • Updated Jan 6, 2026
  • Jupyter Notebook

Khalidelommali / Foundation-Model-Tutorial

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Foundation-Models chat app tutorial for iOS with on-device LLMs, tools, and chat. Shows on-device inference with FoundationModels and calendar tool use. 🐙

api aws tutorial deep-neural-networks computer-vision deep-learning image-captioning representation-learning speech-processing robustness multimodal google-colab zero-shot-classification foundation-models open-vocabulary-detection open-vocabulary-segmentation automatic-labeling-system paligemma
  • Updated Jan 14, 2026
  • Swift

Psicodelic / YOLO11-Edge

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

machine-learning tutorial computer-vision deep-learning image-classification object-detection image-segmentation vlm google-colab zero-shot-detection yolov5 zero-shot-classification yolov8 open-vocabulary-detection open-vocabulary-segmentation automatic-labeling-system qwen paligemma
  • Updated Jan 14, 2026
  • C++

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