333 Open source projects that are alternatives of or similar to KerasUI

Traffic Sign Recognition with Keras.

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

Nudity detection with JavaScript and HTMLCanvas

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

image classifier, retrained for specific classes

Facial Expression Recognition using Residual Masking Network

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

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

📖 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.

Deploying Keras models using TensorFlow Serving and Flask

A Keras implementation of MobileNetV3.

Source code of Indian Paper Currency Prediction 🔥

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

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

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.

A tool for quickly training image classifiers in the browser

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

Official Implementation of 'Fast AutoAugment' in PyTorch.

A specially designed light version of Fast AutoAugment

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

Chrome browser extension for using TensorFlow image recognition on web pages

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

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

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

TensorFlow implementation of GoogLeNet and Inception for image classification.

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

Object Recognition using TensorFlow and Java

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

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》)

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.

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 UI tool for quickly training image classifiers in the browser

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

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

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.

Binary Image Classification in TensorFlow

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

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

[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.

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.

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..

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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

PyTorch implementation of shake-drop regularization

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

🔥🔥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）🔥🔥

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

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

Utils for fast.ai course

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

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

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

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

Balanced Multiclass Image Classification with TensorFlow on Python.

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

Implementation of Conv-based and Vit-based networks designed for CIFAR.

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

Image classification for everyone.

.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/