2022 Open source projects that are alternatives of or similar to Imgclsmob

Collection of computer vision models, ready to be included in a JVM project

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Segmentation models with pretrained backbones. PyTorch.

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

Gluon CV Toolkit

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

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

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.

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

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

deep learning for image processing including classification and object-detection etc.

《深度学习与计算机视觉》配套代码

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Tensorflow implementation : U-net and FCN with global convolution

PSPNet in Chainer

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

基于Tensorflow2开发的优秀扩展包及项目

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

.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/

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

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

AutoGluon: AutoML for Text, Image, and Tabular Data

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

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

Powerful and efficient Computer Vision Annotation Tool (CVAT)

A collection of computer vision pre-trained models.

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

An open source framework for deep learning on satellite and aerial imagery.

FrostNet: Towards Quantization-Aware Network Architecture Search

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

Classification with PyTorch.

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

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

MXNet Gluon Synchronized Batch Normalization Preview

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

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Crop/Weed Field Image Dataset

CRF-RNN PyTorch version http://crfasrnn.torr.vision

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Keras implementation for Pointnet

this simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet

Neural Style and MSG-Net

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

An awesome semantic segmentation model that runs in real time

Object classification with CIFAR-10 using transfer learning

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

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Collections of model quantization algorithms

Machine Learning University: Accelerated Natural Language Processing Class