YOLOv5 right in your browser with tensorflow.js

DFACE: Redact faces in your browser using client-side YOLOV5 detection models

YOLOv5 right in your browser with onnxruntime-web

Object Detection using YOLOv5 on multiplatform using tensorflowjs and react-native.

YOLOv5 Segmentation Right in The Browser Using onnxruntime-web

Plant Disease Detection using convolutional neural network. Our model can easily predict the disease of plants like Potato , Tomato , Pepper Bel and many more in the upcoming version.

MediaPipe를 활용하여 Human Pose 인식과 각도 측정을 통한 실시간 피드백이 가능한 AI 홈 트레이닝 서비스

My capstone project aiming to create a smart shopping cart system to enhance the shopping experience. This project offers a seamless shopping experience by utilizing an object detection model trained on a custom dataset, combined with a user-friendly mobile application. This repositroy contains the mobile application part of the system.

This project embodies an advanced IoT robotics system using Raspberry Pi. It includes remote control, real-time sensor data, and innovative fire detection. Leveraging AWS IoT Core and MQTT, it seamlessly integrates hardware and software for remote robotic car control

삼성청년SW아카데미(SSAFY 6기) 2학기 특화프로젝트 - AI를 이용한 식단 관리 및 맨몸 운동 보조 서비스

Example of YOLOv5 object segmentation on the browser, powered by Onnx. Written in JavaScript without any frameworks.

YOLO BBox Annotation Tool

Three Factor Authentication System, Add an additional layer of security to the old 2FA using Facial Biometric Scan.

A monitoring device for counting humans in halte FTUI

yolo5 frontend docker

Gutenberg block to tag object in image using TensorflowJS and YOLO V5

flask-cms&yolov5

People detection on images and videos

AI를 기반으로 진행하는 Wanted 팀의 스마트 헬스케어 서비스 '나 혼자 피트니스' 프로젝트