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.

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)

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

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

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

Careium is an AI android application to help in having a long well-healthy life. Helps in tracking eaten food, ingredients, and nutrients. Careium has the advantage of estimating food ingredients, by getting food images using the mobile camera or uploading a pre-captured image to the application, resulting in related info of it such as Food’s Nu…

Inception V3 for Transfer Learning on Cats and Dogs

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

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

Designed and Developed end-to-end scalable Deep Learning Project. It is a detection system trained using InceptionV3(CNN model) + GRU(Sequential model) model to classify a video as Real or Fake. Obtained the test accuracy of 89%.