1165 Open source projects that are alternatives of or similar to Dataturks

PyTorch extensions for fast R&D prototyping and Kaggle farming

Accelerated deep learning R&D

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

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

High-performance Vision library in Python. Scale your research, not boilerplate.

Medical image processing in Python

Artificial Intelligence Learning Notes.

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

The hottest High Dynamic Range (HDR) Library

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

Deep Learning Computer Vision Algorithms for Real-World Use

An easy to use C# deep learning library with CUDA/OpenCL support

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

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

The collection of pre-trained, state-of-the-art AI models for ailia SDK

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Neural networks training pipeline based on PyTorch

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.

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

Catalyst.Segmentation

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

Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.

This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.

Full web grabcut example using opencvjs

Best Practices, code samples, and documentation for Computer Vision.

Automatic detection of plant diseases

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

Nudity detection with JavaScript and HTMLCanvas

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。

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

Image segmentation - general superpixel segmentation & center detection & region growing

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

📖 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.

A simple image dataset EDA tool (CLI / Code)

Segmentation models with pretrained backbones. PyTorch.

Open solution to the TGS Salt Identification Challenge

🍎 My own face recognition with deep neural networks.

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

CVPR 2021 论文和开源项目合集

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..

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

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.

a sklearn wrapper for Google's BERT model

Code and Pretrained model for IGCV3

A Keras implementation of MobileNetV3.

Similar images search for PostgreSQL

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

Transformer-based image captioning extension for pytorch/fairseq

smartcrop implementation in Python

A fast, almost Gaussian Blur implementation in Go

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

Image Captions Generation with Spatial and Channel-wise Attention

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.

Grade exams fast and accurately using a scanner 🖨 or your phone 🤳.

Faster than light image resizing service that runs on AWS. Super simple to set up, highly available and very performant.

Sandbox for training deep learning networks