Keras model of NSFW detector

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

AI场景分类竞赛

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

Running Inception-v3 on Core ML

Image Recognition Model to detect plastics, glass, paper, rubbish, metal and cardboard. This is used to detect these pollution in the ocean to allow the eradication of these materials, helping marine life, fishermen, tourism and making the world resilient to climate change.

A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.

Dockerized Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

🍊 🎑 Orange3 add-on for dealing with image related tasks

Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)

Image Retrieval in Digital Libraries - A Multicollection Experimentation of Machine Learning techniques

This repository consists of our Final Year Project. You can find everything starting from our code to all the resources in this repository

A simple image classification test using Core ML and Inception V3 model in Objective-C

Inception V3 for Transfer Learning on Cats and Dogs

This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".

InceptionV3-Multi-layer GRU based automatic image captioning with Keras and TensorFlow frameworks

Deep image classification tool based on Keras. Tool implements light versions of VGG, ResNet and InceptionV3 for small images