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This GitHub repository focuses on an integrated approach to scene classification and image caption generation, aiming to improve the accuracy of scene evaluation in computer vision applications.
This research mini-project trains an expandable image classification system for place categorization which solves the closet-set limitation of convnets. The state-of-the-art Places365 convnet is trained using Places365 dataset with one vs all random forest classifier that outputs place labels.