333 Open source projects that are alternatives of or similar to Igcv3

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

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

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

Pre-trained VGG-Net Model for image classification using tensorflow

PyTorch implementation of shake-drop regularization

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

image classifier, retrained for specific classes

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Chrome browser extension for using TensorFlow image recognition on web pages

LibFewShot: A Comprehensive Library for Few-shot Learning.

Binary Image Classification in TensorFlow

Real time image classification with React Native and Tensorflow lite.

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

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

Traffic Sign Recognition with Keras.

Pytorch implementation of pyramidnet

📖 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.

Impementation of MobileNetV2 in pytorch

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

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

TensorFlow implementation of GoogLeNet and Inception for image classification.

Accelerated deep learning R&D

A UI tool for quickly training image classifiers in the browser

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

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.

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

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

A TensorFlow implementation of Group Normalization on the task of image classification

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

Image classification for everyone.

Deep learning codes and projects using Python

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Nudity detection with JavaScript and HTMLCanvas