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.

Invert and perturb GAN images for test-time ensembling

TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

Scaling Object Detection by Transferring Classification Weights

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

Tensorflow 版本的图片鉴黄。not suitable/safe for work (NSFW) images detection using Tensorflow

A lightweight and extensible toolbox for image classification

Web Based Image Recognition System in Python Flask

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.

Deploy AutoML models for image classification on AWS Sagemaker with AutoGluon

This repository contains demonstrations done with deep learning computer vision models.

Protein localization in cell microscopy images Kaggle competition

CenOTAPH: COlour and Texture Analysis toolbox for PytHon

Implementations of various classifiers on MNIST dataset. Both traditional machine learning and deep learning methods are included.

Deep Learning for Image Classification

Develop an AI-based image classification system using CNN and transfer learning. The project includes data preprocessing, model training, fine-tuning, evaluation with precision, recall, and F1-score, and testing.

[CVPR 2019] SketchGAN: Joint Sketch Completion and Recognition with Generative Adversarial Network

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…

Image Classification with Convolutional Neural Networks in TensorFlow: Fashion Item Classifier