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semantic-labeling-of-images icon semantic-labeling-of-images

The supervised learning method described in this project extracts low level features such as edges, textures, RGB values, HSV values, location , number of line pixels per superpixel etc. to train the model using a Support Vector Machine and semantically label the superpixels in test set with labels such as sky, tree, road, grass, water, building, mountains & foreground objects. The results were then compared with ground truth to evaluate the accuracy of the model.

semantic3dnet icon semantic3dnet

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

semantic_segmentation-2 icon semantic_segmentation-2

Created a Fully connected neural Network of Scene understanding binary classification. The classifier classifies each pixel as navigable space or not.

semanticlabel icon semanticlabel

Application in MATLAB to create semantic labels on a set of images and check the accuracy of the labeling.

semanticlabelingrepo icon semanticlabelingrepo

Datasets and Code used in experiments described in paper titled 'Assigning Semantic Labels to Data Sources'

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