Ultralytics YOLO11 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost …

2024年1月31日 · YOLO-World supports zero-shot inference, and three types of fine-tuning recipes: (1) normal fine-tuning, (2) prompt tuning, and (3) reparameterized fine-tuning.

Better, faster, peering over yonder. Improved large scale object detection in aerial/satellite imagery. - avanetten/yoltv4

2021年11月14日 · YOLOv3 in PyTorch > ONNX > CoreML > TFLite. Contribute to ultralytics/yolov3 development by creating an account on GitHub.

This video tutorial series shows you how to infer and train your own custom YOLOv4 models, Step-by-step - YOLOv4-Tutorials/3.

Extension library for bluetooh support for Yolo:Bit - AITT-VN/yolobit_bluetooth

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite. Contribute to ultralytics/yolov5 development by creating an account on GitHub.

Contribute to AITT-VN/yolobit_homebit_v3 development by creating an account on GitHub.

Create /results/ folder near with ./darknet executable file; Run validation: ./darknet detector valid cfg/coco.data cfg/yolov4.cfg yolov4.weights

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.