☕️ A vscode extension for netron, support *.pdmodel, *.nb, *.onnx, *.pb, *.h5, *.tflite, *.pth, *.pt, *.mnn, *.param, etc.
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Updated
Jun 4, 2023 - TypeScript
☕️ A vscode extension for netron, support *.pdmodel, *.nb, *.onnx, *.pb, *.h5, *.tflite, *.pth, *.pt, *.mnn, *.param, etc.
Weihua - Learn the moves - Computer vision powered dance app
BACKEND - An AI Flutter application developed for self-checkout for stationery items at KMUTT Bookstore as part of coursework for CSC340 (Artificial Intelligence)
A health and education tool using active recall and reminiscence therapy for an interactive memory recall game.
Ionic application for detection of tomato diseases on leaves
Empowering every actions towards a greener future
A web-based application that enables users to upload transportation-related images (such as traffic camera images) and perform object detection on those images
Load your YOLO v5 or v8 model in browser using tensorflow.js
Image based object detection in browser extension
Sistema de detecção de objetos em video utilizando YOLOv8 utilizando Python e Flask no backend e React Vite no Frontend
RaidexAI is a Next.js application integrated with a machine learning model, YOLOv8, to detect anomalies in radiology images. The output is sent to a Flask server, which uses OpenCV to create Regions of Interest (ROIs) in the images and employs a Language Model (LLM) for contextual analysis, interpreting the content alongside the detected anomalies
Record a chess game live and upload the PGN to Lichess
AgroGuard is a deep-learning-based application that helps us identify different diseases in plants and provides timely cures.
User-friendly web interface or scripts to upload videos/images, process them for COCO class detection using a pre-trained model, and visualize the annotated results.
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