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Description
The set contains videos of LEGO bricks (narrow plates) moving on a white conveyor belt. The videos were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over the final conveyor belt.
The videos were recorded using Huawei p20 Pro camera (1920x1080 resolution, H.264 high profile codec, 15 frames per second) located 14.5 cm over the belt. The bricks have random colors. The videos were placed in a seperate file for different pin type.
Sample images are presented below.
Dataset file
Plates narrow.zip
139.0 MB,
S3 ETag
65a890f07e684e157a7365d600df57dd-1,
downloads: 70
The file hash is calculated from the formula
Example script for calculation:
https://github.com/antespi/s3md5
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
-
open in new tab
CC BY-NC-SANon-commercial - Share-alike - Raw data:
- Data contained in dataset was not processed.
Details
- Year of publication:
- 2021
- Verification date:
- 2021-03-09
- Dataset language:
- English
- Fields of science:
-
- information and communication technology (Engineering and Technology)
- computer and information sciences (Natural sciences)
- DOI:
- DOI ID 10.34808/6dmq-jh34 open in new tab
- Series:
- Verified by:
- Gdańsk University of Technology
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