339 Open source projects that are alternatives of or similar to CV

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

Implementation of Conv-based and Vit-based networks designed for CIFAR.

Accelerated deep learning R&D

Image classification for everyone.

Impementation of MobileNetV2 in pytorch

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

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

[ICLR2022] official implementation of UniFormer

LibFewShot: A Comprehensive Library for Few-shot Learning.

Code and Pretrained model for IGCV3

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Pytorch implementation of pyramidnet

Balanced Multiclass Image Classification with TensorFlow on Python.

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

Pre-trained VGG-Net Model for image classification using tensorflow

A TensorFlow implementation of Group Normalization on the task of image classification

Serving PyTorch models with TorchServe 🔥

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Image rotation and cropping out the black borders in TensorFlow

Real time image classification with React Native and Tensorflow lite.

Sandbox for training deep learning networks

A script in python to organize your images by similarity.

Traffic Sign Recognition with Keras.

UI for Keras to implement image classification written in python and django

📖 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.

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

A short tutorial on performing fine tuning or transfer learning in PyTorch.

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

TensorFlow implementation of GoogLeNet and Inception for image classification.

Tensorflow Image classifier that can predict the breed of a dog from it photo. Trained on image dataset of 5 different breed of dogs (rottweiler, bulldog, pug, german shepherds, labrador). Interestingly the classifier was able to predict the breed of the dogs even from images of their toys.

A UI tool for quickly training image classifiers in the browser

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

PyTorch implementation of shake-drop regularization

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Deep learning codes and projects using Python

image classifier, retrained for specific classes

Nudity detection with JavaScript and HTMLCanvas

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

A simple, flexible, and extensible template for PyTorch. It's beautiful.

Chrome browser extension for using TensorFlow image recognition on web pages

A Keras implementation of MobileNetV3.

Paper notes in deep learning/machine learning and computer vision

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Binary Image Classification in TensorFlow

A specially designed light version of Fast AutoAugment

Image annotation tool to make Machine Learning or others stuffs

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

A simple logo classifier developed using Maixduino framework and PlatfomIO, to run on K210 MCU on Sipeed's Maix dev board.

A unified program to check predictions of different convolutional neural networks for image classification.

A collaborative tool for labeling image data for yolo

Deep Metric Transfer for Label Propagation with Limited Annotated Data