333 Open source projects that are alternatives of or similar to Igcv3

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

A tool for quickly training image classifiers in the browser

An example of using Tensorflow with Unity for image classification and object detection.

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Source code of Indian Paper Currency Prediction 🔥

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

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

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

Image classification: efficientnet/resnest/seresnext/.....

Object Recognition using TensorFlow and Java

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

Facial Expression Recognition using Residual Masking Network

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

Deploying Keras models using TensorFlow Serving and Flask

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

Test Time image Augmentation (TTA) wrapper for Keras model.

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.

Official Implementation of 'Fast AutoAugment' in PyTorch.

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

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

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.

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Almost any Image classification problem using pytorch

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Object classification with CIFAR-10 using transfer learning

A script in python to organize your images by similarity.

AutoML frAmework for Neural Networks

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

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

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

A smart album for Android which use tensorflow to classify images

Implementing Lambda Networks using Pytorch

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

🙄 Difficult algorithm, Simple code.

A curated list of deep learning image classification papers and codes

Deep Learning Food Classifier for iOS using Keras and Tensorflow

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

Image Tampering Detection using ELA and CNN

Bridging the gap Between Stability and Scalability in Neural Architecture Search

PyTorch baseline for AI challenger Scene classification

A machine learning experiment

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

CNN image classifier implemented in Keras Notebook 🖼️.

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

Sandbox for training deep learning networks

Deep Learning: Image classification, feature visualization and transfer learning with Keras

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

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

A Keras implementation of MobileNetV3.

A specially designed light version of Fast AutoAugment

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"