378 Open source projects that are alternatives of or similar to Googlenet Inception

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

🍭A web platform designed for mysql inception

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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

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

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

🔥🔥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）🔥🔥

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

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

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

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

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.

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

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

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

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.

基于开源组件（Inception & SQLAdvisor & SOAR）的SQL审核&SQL优化的Web平台

Official Function and Template Store for OpenFaaS

EPIC-KITCHENS-55 baselines for Action Recognition

Image classification for everyone.

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

.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/

An AI based application to identify currency and gives audio feedback.

A specially designed light version of Fast AutoAugment

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

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.

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

A UI tool for quickly training image classifiers in the browser

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Host yo' self from your browser, your phone, your toaster.

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

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

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

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

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

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

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

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

Utils for fast.ai course

Facial Expression Recognition using Residual Masking Network

Example Tensorflow Processor using Java API for Apache NiFi 1.2 - 1.9.1+

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

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

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.

Retrained InceptionV3 image classification model

Deploying Keras models using TensorFlow Serving and Flask

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Code and Pretrained model for IGCV3

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

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

🙄 Difficult algorithm, Simple code.

Source code of Indian Paper Currency Prediction 🔥

Accelerated deep learning R&D

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

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