Image-classification Libraries

34 Components & Libraries

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Image-classification Libraries

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to increase the quality of trained models. The purpose of image augmen…

Deep learning with satellite & aerial imagery

Extracting roads is challenging due to the occlusions caused by other objects and the complex traffic environment In instance segmentation, each individual 'instance' of a segmented area is given a u…

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

🚀 Introducing VL Profiler! 🚀 We're excited to announce our new cloud product, VL Profiler. It's designed to help you gain deeper insights and enhance your productivity while using fastdup. With VL P…

Medical image processing in Python

MedPy is an image processing library and collection of scripts targeted towards medical (i.e. high dimensional) image processing.

Tensorflow based training and classification scripts for text, images, etc

This repository contains code to: setting up tensorflow classifier and retraining it find the tutorials here:

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

Using a Convolutional Neural Network (CNN) to recognize facial expressions from images or video/camera stream. The goal is to get a quick baseline to compare if the CNN architecture performs better w…

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

IPyPlot offers 3 main functions which can be used for displaying images in notebooks: and use any of the available plotting functions shown below (notice execution times).

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similarity, learn the normal behavior and temporal intera…

:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

Or, Dataset class provides the flexibility to load image dataset by updating components of the class. Components of Dataset class are: These components can be updated with custom function by the user…

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

All of the Keras built in models are made available: This project has the following dependencies: The only thing you have to do to get started is set up the folders in the following structure:

A script in python to organize your images by similarity.

A python script to organize your images by similarity. Watch it working below. Navigate to the folder you want. CLI - Command Line Interface or GUI - Graphic User Interface Install the requirements.t…

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

:rabbit: Python lib for remo - the app for annotations and images management in Computer Vision

Remo is a web-based application to organize, annotate and visualize Computer Vision datasets. Remo runs on Windows, Linux, Mac or directly in Google Colab Notebooks. It can also be served on a privat…

CNN image classifier implemented in Keras Notebook 🖼️.

Check out corresponding Medium article: Structure your data as follows: For binary classifications you are good to go! For non-binary classifications:

Its a implementation of DeepFont : Identify Your Font from An Image using Keras

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Our augmentation method can accurately emulate realistic color constancy degradation. Existing color augmentation methods often generate unrealistic colors which rarely happen in reality (e.g., green…

Almost any Image classification problem using pytorch

To train the models: To test the models: total number of train images: 4268 total number of val images: 482 total number of test images: 794

Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.

Exploratory Video Analytics System

EVA comes with a wide range of commonly used computer vision models. It written in Python, and it is licensed under the Apache license.

Classifying the Blur and Clear Images

In day to day Life, we encounter the poor images clicked from our Camera due to poor focus, a motion of objects in the frame or handshaking motion while capturing the Images. As a smart person(myself…

Deep-Learning-Image-Classification-Models-Based-CNN-or-Attention

This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts

This project organizes classic Neural Networks based convolution or attention mechanism, in order to solve image classification. This readme is introduced in Chinese (including most of the comments i…

Python REST API to detect images with adult content

This project provides a ready to deploy REST API allowing to predict if an image is offensive or has adult content. The current project doesn't aim at improving the quality of the predictions. The ma…

Extract deep learning features from images using simple python interface

You are looking for generic image features for Sometimes, you are not looking for latest and greatest. You just need something that just works. With image_features, you can extract such deep learning…

Dimensionality-reduction-and-classification-on-Hyperspectral-Images-Using-Python

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

The prerequisites to better understand the code and concept are: Since, the initial two principal COmponents have high variance. so, we will select the initial two PC'S. The time taken for classifica…

Custom image data generator for TF Keras that supports the modern augmentation module albumentations

To learn more about: The most notable added features are:

Image-Classification-App-with-Custom-TensorFlow-Model

Learn how to code your own neural network in Python, then deploy it in an Image Classification App using TensorFlow Lite.

Learn how to code your own neural network in Python, then deploy it in an Image Classification App using TensorFlow Lite. We'll code a Convolutional Neural Network (CNN) model with TensorFlow, then d…

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