Simple Example of Image Recognition
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Updated
Jun 27, 2019 - Python
Simple Example of Image Recognition
This is my TE miniproject for the SPPU seminar , which uses deep learning concepts to implement Face mask detection module.
'Transfer Learning' was used to classify the images into the 40 categories. Inception-v3, a CNN model that was pre-trained by Google on 100K images with 1000 categories was used in the process.
This is a trained classifier used to identify Awrudu food. Dataset is also included in the repository
Simple Image Recognition App using Core ML and the InceptionV3 Neural Network Classifier.
Preparation of the dataset before the training, tiling the images, the images have been annotated with labelimg so we have an XML file for each image.
Smart Refrigerator
Object recognition using Inception model
Design of several classifiers to discriminate between calcification and masses, as well as, benign and malignant ones of mammography films.
Pneumonia Chest X-ray Image Classification with deep learning
Skin Cancer MNIST: HAM10000 - ResNet50 vs Inception-V3 vs VGG-19 vs VGG-16 vs GoogLeNet (Inception-V1)
Automated Diabetic retinopathy Image Classification using Deep Learning
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Trabajo fin Programa Experto en Big Data: Procesar set de imágenes de MIRFLICKR en Spark TendorFlow Inception y entrenar modelo para inferencia de etiquetas. Clasificación de imágenes subidas a Twitter con Storm.
identify food images with CNN
Transfer Learning based Image Classification model to predict the breed of a dog or a cat.
App using CoreML & Inception v3 Model, inspired by one of the episodes pf the HBO series 'Silicon Valley'.*studies project from The Complete iOS Development Bootcamp*
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