Big Data Analytics Tool

drone, big data, segmentation, AdaBoost, WaldBoost,Random Forests,CNN

Big Data analytics tool is system for object detection, classification, and
segmentation utilising custom raw data as well as annotated external datasets. By
utilising a deep segmentation network trained on the Semantic Drone Dataset, the
tool enables the processing of Big Data in the form of raw video from drones and
associated metadata. For any given scene, the information is aggregated, fed into
the training pipeline, and leads to the creation of a segmentation model.

By providing per-pixel class information, the outputs can be aggregated to an
image-wide or scene-wide categorization, enabling further information
extrapolation from the data. The tool consists of object detection, extraction of
objects from video/images, storage of the images and processing of a data base of
the objects, (semi) automatic annotation of the object data base, and
analytics/machine learning subtools for processing of the data base
(AdaBoost/WaldBoost and/or Random Forests and/or CNN based tools, etc.). 

Fakulta informačních technologií VUT v Brně, Božetěchova 2, 612 66 Brno, Q301

• pdf C4D_BUT-Drone_Big_Data_Analytics_Tool.pdf 314 kB