Tagged images with bees

Description

Images taken from bee hive with tagged bees. The images are prepared for training yolo5 deep neural network (supplied with the data).

The images are random frames from movies recorded in may 2017 and 2018. All images are taken from full HD video stream, split in half and rescaled to 416x416 (each half). The images names are in format: "_frames__<left|right>.bmp".

The tagging of the images was done manually using objectmaker.exe tool (supplied with the data). The tags are stored in info.txt file and has the following format: "image_name number_of_tags x_coordinate_of_top_lef_corner y_coordinate_of_top_lef_corner x_coordinate_of_bottom_right_corner y_coordinate_of_bottom_right_corner". The coordinate set is provided number_of_tags times.

Dataset file

photos_mapping_tool_neural_network.zip

261.9 MB, S3 ETag 603ad76181e401be4951064b57edddf1-18, downloads: 40

The file hash is calculated from the formula
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

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CC BY-SA

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Details

Year of publication:

2019

Verification date:

2020-12-30

Creation date:

2020

Dataset language:

English

Fields of science:

information and communication technology (Engineering and Technology)
computer and information sciences (Natural sciences)

DOI:

10.34808/4aeb-1f36

Series:

Bees

Verified by:

Gdańsk University of Technology

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