image-classfication
There are 31 repositories under image-classfication topic.
visual-layer/fastdup
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
chail/gan-ensembling
Invert and perturb GAN images for test-time ensembling
Atharva-Phatak/torchflare
TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
michelpf/fiap-ml-visao-computacional
Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP
xternalz/AE-WTN
Scaling Object Detection by Transferring Classification Weights
JackonYang/porn-hot-classification
Tensorflow 版本的图片鉴黄。not suitable/safe for work (NSFW) images detection using Tensorflow
mansipatel2508/Image-Forgery-Detection-CNN-vs-Transfer-Learning-Comparison
The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction
huitangtang/On_the_Utility_of_Synthetic_Data
Code release for "A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation", accepted by CVPR2023.
shawon100/image-recognition-resnet50-flask
Web Based Image Recognition System in Python Flask
horrible-dong/QTClassification
A lightweight and extensible toolbox for image classification
OElesin/autogluon-image-classification
Deploy AutoML models for image classification on AWS Sagemaker with AutoGluon
lapix-ufsc/dl-tutorials
This repository contains demonstrations done with deep learning computer vision models.
bianconif/CenOTAPH
CenOTAPH: COlour and Texture Analysis toolbox for PytHon
jondeaton/HumanProteinAtlas
Protein localization in cell microscopy images Kaggle competition
shishishu/mnist-classification-tutorial
Implementations of various classifiers on MNIST dataset. Both traditional machine learning and deep learning methods are included.
Ashish-Abraham/Sketch_GAN
[CVPR 2019] SketchGAN: Joint Sketch Completion and Recognition with Generative Adversarial Network
debdattasarkar/Image-Classification-with-CNN-in-TensorFlow
Image Classification with Convolutional Neural Networks in TensorFlow: Fashion Item Classifier
jabhinav/Talk-IGDTUW
Deep Learning for Image Classification
GauravG-20/Flower-Image-Classifier
Project code for Udacity's AI Programming with Python Nanodegree program. In this project, code was developed for an image classifier built with PyTorch, then converted into command line applications: train.py, predict.py.The image classifier recognizes different species of flowers.
hardy30894/federated-multicloud-k8
Federated multicloud kubernetes cluster deployment using Infrastructure as Code for Image Classification
mahadmughal/Land-classification
It is an image classification problem involving the usage of various custom and pretrained keras models on land classification dataset containing 21 classes.
NeelBhowmik/imfication
Image classification using deep learning models with activation map visualisation and TensorRT support
nestiank/boostcamp-image-classification
boostcamp AI Tech: 이미지 분류 대회
sadipgiri/image_classfication
Development and implementation of various image classifiers using deep learning.
ychen921/Alohomora
Hand-on experience in image classification by deep nerual network
crypto-code/Image-Classifier
Retrain a pre-trained Neural Network to recognize Images
nikenaml/image-classification-using-deep-learning-pretrained-model
In this case study, I combine several subcategories of data not based on item color but based on item type. These types will be classified into types of clothing and shoes. The result of merging these subcategories is that there are several main categories which are divided into 5 categories, namely Dress, Pants, Shirt, Shoes, Shorts. I'm trying to learn and build a deep learning approach with CNN Architecture using the pre-trained model "InceptionResNetV2" variant and the RMSprob optimizer to fit the data and then used to predict the image data. And in the last part, the model will be saved in TF-LITE format for development purposes (such as mobile applications).
niladrridas/image-classification
Accurate image classification powered by InceptionV3 deep learning model. Quickly classify diverse images with high precision using TensorFlow.
pkliui/machine-learning
Some of my Machine Learning projects
Rohitv97/Diagnosing-TB
Using Neural Networks on Chest Xrays to find abnormal and normal xrays to diagnose for Pulmonary Tuberculosis
thedatanerdz/MLP-90
Deep learning basics