Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

tensorflowJS implementation of EfficientNet 🚀

A UI tool for quickly training image classifiers in the browser

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

A JavaScript image classifier used to identify explicit/pornographic content written in TypeScript.

Image annotation tool to make Machine Learning or others stuffs

The Web AI Toolkit simplifies the integration of AI features, such as OCR, speech-to-text, text summarization and more into your application. It ensures data privacy and offline capability by running all AI workloads locally, leveraging WebNN when available, with a fallback to WebGPU.

📺 Instill Console for 🔮 Instill Core: https://github.com/instill-ai/instill-core

A state of the art* image classification app that tells users if the photo they uploaded is a pizza or is not a pizza

Experience the power of Clarifai’s AI platform with the nodejs SDK. 🌟 Star to support our work!

Workshop for student hackathons focused on Lobe.ai

A collection of React hooks that enable developers to integrate artificial intelligence functionalities using machine learning models directly into their web applications.

Image Classification API With NodeJS, TensorflowJS, And MobileNet Model

It shows API server for image classification based on RESNET-50.

🌱A machine learning web and mobile application for soil type classification for plant decision making

An AI powered gallery web app to conveniently organize your photos

Labeling Coastal Images

A utility app that tags your images with danbooru tags - fully offline

(computer vision in hosipitals) this is a simple rest api that classifies pneumonia infection weather it is Normal, Pneumonia Virus or Pneumonia Bacteria from a chest-x-ray image.

📷 Command line tool to auto-classify images, renaming them with appropriate address and labels. Uses Node.js and the Google Geocoding and Vision APIs.