Cropification is a Django based web-app that provides different services, including object detection, vegetation localization etc.

[ 深度學習於自動駕駛研發 專題網頁 ]　我們改裝遙控車，使用GPU快速運算的特性，搭配YOLO「即時物件偵測」模型，讓自駕車可以依固定路線自動行駛。

This implementation using darknet's pytorch implementation to detect objects and classify them as per the type of grip used by the human hand to interact with the object.

This project employs YOLOv2/YOLOv3, TensorFlow and DarkFlow for crowd people counting from images, videos, or live streams, with applications in disaster recovery planning and crowd management, providing real-time count estimates.

Automated CCTV Parking Lot Monitoring using YoloV3.

인공지능을 활용한 식품의 영양정보 제공 서비스

Microsoft Engage'22 -Face Recognition Track

software pipeline to identify the lane boundaries and cars in a video for autonomous self-driving cars

A collection of datasets and neural networks for microorganism image classification

Data mining illustrated ads with object detection

Real time weapons detection from images, video or live feeds.

This a Website made for Weed Detection Using YOLO v3

YOLO Object detection with OpenCV and Node.js

Coursera - Deep Learning Specialization - deeplearning.ai

Create a Convolutional Neural Network using TensorFlow.

Unlawful traffic activity detection and monitoring system using OpenCV, YOLO, flask in python

[Coursera] Deep Learning Specialization on Coursera

Pendeteksian rambu lalu lintas khas Indonesia menggunakan dataset custom dan menggunakan algoritma Deep Learning You Only Look Once v4

Automate data labeling with Mechanical Turk.