CAD-EdgeTune

Citation Author(s):
Masud
Ahmed
University Of Maryland Baltimore County
Submitted by:
Masud Ahmed
Last updated:
Wed, 01/11/2023 - 13:38
DOI:
10.21227/sntx-ct02
License:
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Abstract 

CAD-EdgeTune dataset is acquired using a Husarion ROSbot 2.0 and ROSbot 2.0 Pro with the collection speed set to 5 frames per second from a suburban university environment. We may split the information into subgroups for noon, dusk, and dawn in order to depict our surroundings under various lighting situations. We have assembled 17 sequences totaling 8080 frames, of which 1619 have been manually analyzed using an open-source pixel annotation program. Since nearby photographs are highly similar to one another, we decide to annotate every five images. Since the annotation procedure may be highly time-consuming, we employ soft-labeling while annotating CAD-EdgeTune dataset, which enables us to proceed through the frames more quickly. The annotation method we employ enables us to create minute annotations inside an image's objects, and the categorization would encompass related pixels. This approach may result in less-than-perfect annotations and some performance accuracy loss, but the loss would not be great enough to justify producing pixel-perfect annotations.

Instructions: 

This is a partial dataset, we will upload the full dataset as soon as our paper got accepted