#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。
OpenMMLab Detection Toolbox and Benchmark
#计算机科学#We write your reusable computer vision tools. 💜
#数据仓库#Label Studio is a multi-type data labeling and annotation tool with standardized output format
#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 tracking 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.
#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#mean Average Precision - This code evaluates the performance of your neural net for object recognition.