Semantic Segmentation

Urban Semantic 3D Dataset

This dataset extends the Urban Semantic 3D (US3D) dataset developed and first released for the 2019 IEEE GRSS Data Fusion Contest (DFC19). We provide additional geographic tiles to supplement the DFC19 training data and also new data for each tile to enable training and validation of models to predict geocentric pose, defined as an object's height above ground and orientation with respect to gravity. We also add to the DFC19 data from Jacksonville, Florida and Omaha, Nebraska with new geographic tiles from Atlanta, Georgia.

Categories:: Machine Learning
Image Processing
Computer Vision
Geoscience and Remote Sensing

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Endoscopy Disease Detection and Segmentation (EDD2020)

Endoscopy is a widely used clinical procedure for the early detection of cancers in hollow-organs such as oesophagus, stomach, and colon. Computer-assisted methods for accurate and temporally consistent localisation and segmentation of diseased region-of-interests enable precise quantification and mapping of lesions from clinical endoscopy videos which is critical for monitoring and surgical planning. Innovations have the potential to improve current medical practices and refine healthcare systems worldwide.

Artificial Intelligence

Image Processing

Computer Vision

Machine Learning

Biomedical and Health Sciences

Medical Imaging

Submitted On:

Wed, 01/15/2020 - 11:24

Last Updated On:

Sat, 02/27/2021 - 05:11