software for simulating human-like interaction with AI
-
Updated
May 11, 2024 - Python
software for simulating human-like interaction with AI
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
🖼️ Classify images and attempt to extract data from or describe their contents using machine learning
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Telegram bot to convert image to text using python
Image recognition model made to recognize financial charts from social media sources.
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
An Image Recognizer which can classify 15 different Sports Activities.
Python wrapper for Vuforia Web Services (VWS) API
A treasure chest for visual classification and recognition powered by PaddlePaddle
Research on red packet recognition technology of mobile application based on deep learning
Polaris-Bean Bag. Bean Bag is an inventory management system that makes use of image recognition technology to catalog stock items such as second-hand furniture/clothing/books etc. A key feature is that the recognizer can be trained to detect new item types.
Generate alt text descriptions for images
Your Useless Recognizer (of) Images. Image classifier web app
Example apps built on top of Elixir WebRTC
This Python script searches for specific images on the screen and clicks on them if found. It can be useful for automating tasks where specific images need to be located and interacted with on the screen, such as in game automation or UI testing.
An app, showing different face expression in response for different objects in front of the camera
Machine learning projects that span different subject areas from SVM to Deep Learning
Transfer Learning for Dentist diagnosis aid , an intelligent healthcare application for train/validate/test/predict.
Android Upload widget and API client that handles uploads and further operations with files by wrapping Uploadcare Upload and REST APIs.
Add a description, image, and links to the image-recognition topic page so that developers can more easily learn about it.
To associate your repository with the image-recognition topic, visit your repo's landing page and select "manage topics."