yolo

#IOS#YOLOv5 🚀 是在 COCO 数据集上预训练的一系列对象检测架构和模型，代表 Ultralytics 对未来视觉 AI 方法的开源研究，结合了经过数千小时研究和开发的经验教训和最佳实践。

#计算机科学#Ultralytics YOLO 🚀

#计算机科学#We write your reusable computer vision tools. 💜

OpenMMLab Detection Toolbox and Benchmark

#数据仓库#Label Studio 是一个用于机器学习模型训练的数据标注工具，支持标注图像、音频、文本、视频等多种类型。

#计算机科学#YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

#计算机科学#YOLOv3 in PyTorch > ONNX > CoreML > TFLite

#计算机科学#YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

#自然语言处理#OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

#计算机科学#BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

#大语言模型#Effortless data labeling with AI support from Segment Anything and other awesome models.

YOLOv6 是美团视觉智能部研发的一款目标检测框架，致力于工业应用。

#计算机科学#Single Shot MultiBox Detector in TensorFlow

A PyTorch implementation of the YOLO v3 object detection algorithm

#计算机科学#OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

#计算机科学#校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

#计算机科学#DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

#计算机科学#mean Average Precision - This code evaluates the performance of your neural net for object recognition.