rotated bbox detection. inspired by https://github.com/hukaixuan19970627/YOLOv5_DOTA_OBB, thanks hukaixuan19970627.

Yahboom DOFBOT AI Vision Robotic Arm with ROS for Jetson NANO 4GB B01

Real-time American Sign Language (ASL) letters detection, via PyTorch, OpenCV, YOLOv5, Roboflow and LabelImg 🤟

This is an Exam Portal with an AI-based Anti-cheating Proctoring and Invigilation System in Flask (Python).

# 🎯 YOLOv智能标注工具 一个功能强大的网页端YOLOv自动标注工具，支持目标检测和实例分割，可加载自定义训练模型，自动标注图片和视频，并导出为多种训练格式，可调整数据集导出比例，自定义类型ID。

This program is developed to solve the communication barrier between Normal person and specially abled using Deep learning . This Application can be used as virtual camera in any video conference application.

Web-demo application for object detection.

Algorithms for autonomous navigation and track following car which can detect road signs and navigate to the end of the road.

Real-time social distancing detector and people counter for camera recordings, via PyTorch, OpenCV and YOLOv5 👥

🎯 A real-time object detection web app built with PyTorch and YOLOv5, featuring live webcam detection and image upload support.

Recognize bees, wasps, european hornets, asian hornets, and oriental hornets on images/videos

This is a FastAPI web application that allows a user to upload images to perform inference using a pretrained YOLOv5 model, and receive results in JSON format.

An AI application that detects venomous/poisonous species. Made at Stanford AI Camp

A Django python app uses object detection technique to assist and enhance industrial monitoring

This project is a web application that uses YOLOv5 and InceptionResNetV2 models for license plate detection and Optical Character Recognition (OCR) text extraction. The web applications were built using streamlit and flask

🍎🥦 A smart web app that detects fruits and vegetables using YOLOv5 and PyTorch, and displays calorie information in real time.

ML inference API for species detection (YOLOv5/PyTorch) — proof that control-system thinking applies outside SDLC

Build an object detection model to detect ships in ports using satellite imagery.

A Convolutional Neural Network (CNN) method for estimating cyclone intensity using visible band satellite images sourced from the INSAT-3D satellite.