An AI-driven solution for enhancing safety at construction sites. Utilises YOLOv8 for object detection to identify overhead hazards like heavy loads and steel pipes. Alerts are triggered if personnel are detected beneath these hazards. Dataset sourced from Taiwan's construction industry.

⛅ Versatile Data Pipeline (VDP) console website

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

autoupdate paper list

Fast and Accurate ML in 3 Lines of Code

🚀 ⭐ The list of the most popular YOLO algorithms - awesome YOLO

Comparative benchmarks of CNN models for detecting gunshot holes in targets, aiming at identifying top-performing architectures in accuracy and efficiency.

[CVPR 2024] Official implementation of the paper "Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement"

Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

The library provides standard interface as well defines data structures and rules for different object detectors (motion detectors, events detectors, neural networks etc.).

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

C++ object detection inference from video or image input source

一键训练yolov8目标检测或者实例分割模型，只需要输入一个图片路径，根据提示训练。包含一键导出onnx

객체탐지를 활용한 시각장애인용 보행 보조 앱

Notebooks to upload/download marine footage, connect to a citizen science project, train machine learning models and publish marine biological observations.

Neural Network Compression Framework for enhanced OpenVINO™ inference

We write your reusable computer vision tools. 💜

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

A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.