333 Open source projects that are alternatives of or similar to Sign-Recognition

Deep learning codes and projects using Python

Official Implementation of 'Fast AutoAugment' in PyTorch.

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

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

A UI tool for quickly training image classifiers in the browser

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

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

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Nudity detection with JavaScript and HTMLCanvas

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Object Recognition using TensorFlow and Java

A short tutorial on performing fine tuning or transfer learning in PyTorch.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

🔥🔥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）🔥🔥

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

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

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

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

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.

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.

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

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

[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.

A Keras implementation of MobileNetV3.

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..

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.

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

📖 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.

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

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

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

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.

Utils for fast.ai course

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

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

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

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

Retrained InceptionV3 image classification model

A specially designed light version of Fast AutoAugment

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

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

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

TensorFlow implementation of GoogLeNet and Inception for image classification.

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

Facial Expression Recognition using Residual Masking Network

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

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

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

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

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Deploying Keras models using TensorFlow Serving and Flask

Pytorch implementation of pyramidnet

Impementation of MobileNetV2 in pytorch

Accelerated deep learning R&D

Image classification for everyone.

A machine learning experiment

🙄 Difficult algorithm, Simple code.