Authors:
Parmeet Singh
1
and
Mae Seto
2
Affiliations:
1
Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia and Canada
;
2
Department of Mechanical Engineering, Dalhousie University, Halifax, Nova Scotia and Canada
Keyword(s):
Convolution Neural Networks, Ensemble Learning, Marine Animals, VGG, Inception, Computer Vision, Bounding Boxes.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Document Imaging in Business
;
Early and Biologically-Inspired Vision
;
Features Extraction
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Pattern Recognition
;
Robotics
;
Software Engineering
Abstract:
The objective is to evaluate methods for simultaneous classification and localization towards a better size estimate of marine animals in still images. Marine animals in such images vary in orientations and size. It is challenging to create a bounding box that predicts the shape of the object. We compare axis-aligned and rotatable bounding box techniques for size estimation.