689 Open source projects that are alternatives of or similar to Orange3 Imageanalytics

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

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

No description or website provided.

OpenMMLab Image Classification Toolbox and Benchmark

Easily train or fine-tune SOTA computer vision models with one open source training library

Bottleneck Transformers for Visual Recognition

[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.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

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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.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

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

A machine learning exercise, using KNN to classify deforested areas

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

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MAINTAINER WANTED -- Decode embedded EXIF meta data from image files written in Pure Golang

Parametric Contrastive Learning (ICCV2021)

Keras implementation of a ResNet-CAM model

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Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

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

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

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

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

[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"

Sandbox for training deep learning networks

Label Studio is a multi-type data labeling and annotation tool with standardized output format

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Reference implementations of popular DL models missing from keras-applications & keras-contrib

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

Food Classification with Deep Learning in Keras / Tensorflow

A treasure chest for image classification powered by PaddlePaddle

Sources for the ITKSoftwareGuide.

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

TensorFlow models accelerated with NVIDIA TensorRT

MobileNetV3 in pytorch and ImageNet pretrained models

Solves basic Russian NLP tasks, API for lower level Natasha projects

Library for faster pinned CPU <-> GPU transfer in Pytorch

A simple example on Image Classification in Node.js with TensorFlow.js

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

Curated list of 2vec-type embedding models

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

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Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

A photo OCR project aims to output DMS messages contained in sign structure images.

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

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An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

Extracts data points from images of graphs

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks