#Image-recognition
Showing 60 of 86 repositories tagged #image-recognition, ranked by stars
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
A treasure chest for visual classification and recognition powered by PaddlePaddle
A PyTorch Implementation of Single Shot MultiBox Detector
Code examples for new APIs of iOS 10.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Notes for Fastai Deep Learning Course
RMT (RuoMengTu) is a free, open-source macro tool built on AHKv2. Let the code handle the tedious work—you have more meaningful things to do.
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Descriptive Deep Learning
基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现
:camera: Point your camera at things to learn how to say them in a different language. Android app built with React Native.
[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification
🎨 Ready-to-use DeepSeek-OCR Web UI | Modern Interface | 7 Recognition Modes | Batch Processing | Real-time Logging | Fully Responsive
Deep Learning Computer Vision Algorithms for Real-World Use
Experiments with Mobile
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)
Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'
A wrapper around opencv2 and pyautogui to do image searching easily.
Computer Vision and Image Recognition algorithms for R users
Recycle your plastic better with Artificial Intelligence ♻️
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
Functions for automating osrs botting using Python.
Materials for GWU DNSC 6279 and DNSC 6290.
Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
CNN image classifier implemented in Keras Notebook 🖼️.
Open source software for chip reverse engineering.
AI tools for OSINT
Implementation for <Deep Hyperspherical Learning> in NIPS'17.
Yandex SDA classes on deep learning. Version of year 2017
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
A simple demo for Core ML
WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
Interactive Image similarity and Visual Search and Retrieval application
Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
🏞🌉 Find and Delete Duplicate Images / Photos
:sparkles:SKU级别的商品图像数据集汇总
VisionFlow is a backend application for image recognition and notification systems, built with Flask, PostgreSQL, Redis, and Docker. It supports multi-camera setups, real-time image processing, and provides APIs for user authentication, camera management, and notifications via LINE and email.
Optical position recognition for the game of Go
Defusing bombs in Keep Talking and Nobody Explodes
Cross-platform Robot Framework library for GUI automation based on image recognition
A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic, and shelf inventory.
The project uses a computer vision model to extract structured features from floor plan images for a fire risk assessment.
Bucketize an image based on exhaust data and AI generated data. industry-solutions azure azure machine learning services computer-vision big data big data analytics machine learning image recognition manufacturing quality control cognitive services
Zero-shot image tagging by hierarchical semantic embedding
Final Project of the Udacity AI Programming with Python Nanodegree
Open Source Deep Learning Serving System with Web Interface
This application is designed for the effective interaction between patients and doctors
Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
A list of paper, books and sites for various different topics related to machine learning and deep learning along with various field in which it is implemented
Player detection and ball detection in football matches using image processing(opencv).