Projects with this topic
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Agent skills for Ultralytics YOLO, covering models, datasets, training, tuning, inference, tracking, and export.
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High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.
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Ready-to-use Cog deployments and CI/CD for running Ultralytics YOLO11, YOLO World, YOLOE, and YOLO26 models on Replicate.
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Ultralytics YOLO tutorials for Colab, Kaggle, and SageMaker covering training, inference, export, and vision tasks.
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Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.
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Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.
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Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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Ultralytics YOLO26 quickstart for detection, instance and semantic segmentation, depth estimation, classification, pose, OBB, and tracking.
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Ultralytics YOLO11 discovery and quickstart for detection, segmentation, classification, pose, OBB, and tracking.
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Ultralytics YOLOv8 discovery and quickstart for detection, segmentation, classification, pose, OBB, and tracking.
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✭ MAGNETRON ™ ✭: Detectron2 is a platform for PROXIA that can do POSE ESTIMATION, object detection, segmentation and other visual recognition tasks.
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✭ MAGNETRON ™ ✭: Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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Openpifpaf is pose-estimation ML algorithm written in python. This algorithm is implemented based on pytorch. My goal is, convert python code to c++ for porting algorithm module on any embedded device with any language easily and Optimizing
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