Keras model of NSFW detector
-
Updated
Feb 26, 2024 - Python
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)
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.
🍊 🎑 Orange3 add-on for dealing with image related tasks
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
Inception V3 for Transfer Learning on Cats and Dogs
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.
Classification of automotive parts as defective and non-defective with transfer learning.
Google Inception-V3 with Keras
This repository contains the Jupyter Notebook for the InceptionV3 CNN Model trained on the Stanford Dogs Dataset.
My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization"
This repo includes classifier trained to distinct 7 type of skin lesions
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…
I explain how to export weights from a Keras model and import those weights in Keras.js, a JavaScript framework for running pre-trained neural networks in the browser. I show you later how to include the final result into a Phonegap Cordova mobile application.
Transfer learning on Inception-v3 using the BreakHis dataset.
Add a description, image, and links to the inception-v3 topic page so that developers can more easily learn about it.
To associate your repository with the inception-v3 topic, visit your repo's landing page and select "manage topics."