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06.07.2019 · Intel-Image-Classification. Building a powerful Neural network that can classify Natural Scenes around the world. Description. The goal is to classify images under 6 ...

Jul 06, 2019 · I have implemented a CNN model and a DenseNet121 and ResNet50 model (pretrained on imagenet) for the classification tasks. The CNN model achieved a test accuracy of 90.62% whereas the DenseNet121 model achieved a test accuracy of 92.2% and the ResNet50 model achieved an accuracy of 95.3% on the test set.

Introduction and Background

02.12.2021 · Intel Image Classification. Hello world! This is a flask app for the deployment of a deep learning model trained to classify images among 6 classes: Building; Forest; Glacier; Mountain; Sea; Street. Demo. The project is currently deployed on Heroku platform. It's happening here. Run locally. To run the project, clone this repository and run the ...

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Building a powerful Neural network that can classify Natural Scenes around the world - GitHub - manashpratim/Intel-image-Classification: Building a powerful ...

Dec 02, 2021 · Intel Image Classification. Hello world! This is a flask app for the deployment of a deep learning model trained to classify images among 6 classes: Building; Forest; Glacier; Mountain; Sea; Street. Demo. The project is currently deployed on Heroku platform. It's happening here. Run locally. To run the project, clone this repository and run the ...

This Data contains around 25k images of size 150-150 distributed under 6 categories This data was initially published on Intel to host an Image ...

Intel-Image-Classification-Kaggle. This is image data of Natural Scenes around the world. CNN models with grayscale , rgb images is made having different ...

30.10.2021 · Intel-Image-Classification Define some basic parameters Define the path to the datasets directories Define data loading function Explore the image labels Show the first nine images from the training dataset Layer (type) Output …

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Dec 08, 2021 · Intel Image Classification. Contribute to lilitran208/Intel_Image_Classification development by creating an account on GitHub.

Image classification implemented using PyTorch,to classify scenery images - GitHub - Jash271/Intel-Image-Classifier: Image classification implemented using ...

Intel Image classification using CustomDataLoader and Tensorflow training loop with cutsom model evalution function to understand what's going behind Topics deep-learning tensorflow pytorch classification image-classification convolutional-neural-networks

GitHub - AliHaider20/Intel-Image-classification: This project was created as a final project as proof of understanding all the concepts of deep learning ...

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Intel-Image-Classification. Problem statement. Build an powerful Neural network that can classify these images with more accuracy.

Convolutional Neuaral Network (CNN); Pretained CNN. Dataset: Intel Image Classification. This Data contains around 25k images of size 150x150 distributed under ...

Intel-Image-Classification. This is a Deep Learning Model to classify Images between 6 classes using CNN by Tensorflow and Keras. The Link of dataset on Kaggle: Intel Image Classificationd. The kernal on Kaggle: Multi-Classification using CNN by Keras.

Intel Image classification using CustomDataLoader and Tensorflow training loop with cutsom model evalution function to understand what's going behind Topics deep-learning tensorflow pytorch classification image-classification convolutional-neural-networks