reCAPTCHA = REcognize CAPTCHA: A Burp Suite Extender that recognize CAPTCHA and use for intruder payload 自动识别图形验证码并用于burp intruder爆破模块的插件

🇨🇳中国大陆第二代身份证 🆔 识别，自动读出身份证上的信息（姓名、性别、民族、住址、身份证号码）并截取身份证照片, iOS开发者交流:①群:446310206 ②群:426087546

A deep learning model to classify the Arabic letters and digits easily.

Image classifier for physical places/locations, based on the Places365-CNN Model

Car Brand Detection using Python(3.6) and OpenCV

Parking Space Monitoring System using OpenCV 🚗

Movsea – Project for Recognizing Movies by Video.

Recognize text from image in javascript | Optical Character Recognition | OCR

A bank card number recognition system based on deep-learning.

Aplicación móvil de Android con identificación de botellas de vino mediante reconocimiento de imágenes y redes neuronales (TensorFlow).

Driver Plate Recognition app created with using MATLAB by lainyonne

A Machine learning project on Cat v/s Dog image classification using CNN, VGG-16 and VGG-19 in Python

A project in computer vision: Recognizes images of digits using a Naive Bayes classifier

🔎 figure recognition via MLP algoritm in NN

This project is an image processing project it can recognize number plate of vehicles

Repositório dedicado ao estudo do YOLO, modelo usado no projeto para detecção de frutas (Maçã, Banana e Limão)

A simple OCR Android application to recognize numbers in an image.

This is Food Image Recognition App: a smart camera app that uses deep learning to track nutrition from food images. This App is a promising tool for the real-time identification of food and for providing nutrition guidance. The app must provide with important nutrition-related information (e.g., calories) for each food component detected by YOLO…

C++ language program that searches for a car license plate on a photo and then recognises its registration number. [ENG]

Program that uses tensorflow and keras to recognize images and by the way has an extra code to confuse said artificial intelligence with fake recreated images. Technologies and languages used: Jupyter, Tensorflow, Keras and Python. Own learning.