Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

Labeling tool with SAM(segment anything model),supports SAM, SAM2, SAM3, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

🔥 Official YOLOv8模型训练和部署

常见计算机视觉标注格式相互转换

Convert JSON annotations into YOLO format.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

Fast Segment Anything

a data augment tool for object detection

JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

OpenMMLab Rotated Object Detection Toolbox and Benchmark

Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

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

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

reflective-clothes-detect-dataset、helemet detection yolov5、工作服(反光衣)检测数据集、安全帽检测、施工人员穿戴检测

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

Exploring Classification Equilibrium in Long-Tailed Object Detection, ICCV2021

A unified 3D Transformer Pipeline for visual synthesis

🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

All-in-One Development Tool based on PaddlePaddle

annotations of yolov5-5.0

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI