690 Open source projects that are alternatives of or similar to TensorFlow-Multiclass-Image-Classification-using-CNN-s

A treasure chest for image classification powered by PaddlePaddle

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

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

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

No description or website provided.

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

Face Guard: Machine Learning + IoT Surveillance demo! Face recognition

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

No description or website provided.

猫狗大战

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

.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/

Resolver Sudoku de genina.com

OpenMMLab Image Classification Toolbox and Benchmark

Organize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory

Accelerated deep learning R&D

Residual Attention Network for Image Classification

VFRAME: Visual Forensics and Metadata Extraction

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

Parametric Contrastive Learning (ICCV2021)

Gluon CV Toolkit

Sandbox for training deep learning networks

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

Efficient Learning of Augmentation Policy Schedules

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Almost any Image classification problem using pytorch

Tensorflow Image classifier that can predict the breed of a dog from it photo. Trained on image dataset of 5 different breed of dogs (rottweiler, bulldog, pug, german shepherds, labrador). Interestingly the classifier was able to predict the breed of the dogs even from images of their toys.

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

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

No description or website provided.

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Object classification with CIFAR-10 using transfer learning

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

Implementation of Bottleneck Transformer in Pytorch

Deep Metric Transfer for Label Propagation with Limited Annotated Data

TensorFlow implementation of DeepMask and SharpMask

Streaming over lightweight data transformations

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Materials for GWU DNSC 6279 and DNSC 6290.

AutoML frAmework for Neural Networks

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

RMDL: Random Multimodel Deep Learning for Classification

Automatic License Plate Recognition System for Vietnamese Plates

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

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

A specially designed light version of Fast AutoAugment

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.

.NET library to easily create Voice Command Control feature.

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

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

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

A script in python to organize your images by similarity.