Spatial_lda

This repository contains the implementation of an image-based LDA model for use in semi-automation of the image annotation and data curation process. It uses unsupervised Latent Dirichlet Allocation (LDA), Scale-Invariant Feature Transform (SIFT), and ImageNet pre-trained Convolutional Neural Networks (CNNs) to group unlabeled images into different topics using clustered latent features.
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This repository contains the implementation of an image-based LDA model for use in semi-automation of the image annotation and data curation process. It uses unsupervised Latent Dirichlet Allocation (LDA), Scale-Invariant Feature Transform (SIFT), and ImageNet pre-trained Convolutional Neural Networks (CNNs) to group unlabeled images into different topics using clustered latent features.
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Python
Deep Learning
Machine Learning
Neural Network
Computer Vision
Lda
Image Annotation