Seabream Freshness Dataset
About:
The Seabream freshness dataset documents the decaying process of 40 different seabream (sparus aurata) fish, documented for a time span of up to 14 days.
Images were acquired on two different locations: (i) at the Universidade de Aveiro, by Renato Pinto, in 2020; and (ii) in a cooperation between Instituto de Telecomunicacoes – Instituto Superior Tecnico, Universidade de Lisboa and Universidade de Aveiro, by João Rodrigues, in 2023, capturing images of fishes 25 to 40.
The first imaging campaign, in 2020, consisted of 10 photograph sessions, capturing images of fishes 1 to 24. A time span of 7 days (168 hours) was considered, with the first 4 days including 9 sessions, at 0, 17, 24, 41, 48, 65, 72, 89 and 96 hours after the fish capture, plus a final session after 168 hours (7 days). Each session includes 6 pictures of each fish (with eventual duplicates). Images were captured using a smartphone (Samsung with SM-N975F camera) and a digital camera (Canon EOS 800D). Images were captured from various angles, with and without special focus of the eye region, and considering two different types of illumination, notably neutral and yellow saturated.
The second imaging campaign, in 2023, consisted of 22 photograph sessions, capturing images of fishes 25 to 40. A time span of 14 days (326 hours) was considered. With sessions approximately spaced by 12h in the first 9 days, and a spacing of 24h afterwards. Images were captured using a smartphone (Samsung with a SM-A226B camera). Each session includes 8 images of each fish, 4 from each side of the fish, from various angles, focusing both in the eye-region as well as the whole fish. Each session also contained group pictures of 4 different fishes, which were rotated in each session.
The annotation process was carried out using the Segments AI online platform (segments.ai), labelling the eye-region, as well as the whole fish region.
Details:
The database is organized in the following hierarchical folder structure:
· The main directory, “seabream_freshness”, contains 2 folders: (i) ”original imgs”, corresponding to the original images taken in the sessions; and (ii) ”eye segmented imgs”, corresponding to the eye region, which was segmented from the original images. Each of these 2 folders contains 28 subfolders corresponding to time elapsed since the fish capture;
· Each of the 28 folders contains folders corresponding to the images of each individual fish (1, ..., 40), and group photos (G_X1_X2_X3_X4, where X1, ..., X4 are the numbers of the fishes in the image);
· The following and final layer of folders corresponds to each fish image folder and has as its name the corresponding fish number plus the acquisition date, whenever images were acquired using a smartphone. For images acquired using the digital camera the file name is the fish number followed by IMG_XXXX, where XXXX is the sequential number of the photos taken by the digital camera;
· For every fish image folder there are 2 types of files: (i) the .JPEG photo of the fish; and (ii) the corresponding ground truth segmentation image, stored as a color image in PNG color format (fish eye – orange; fish body – yellow; background – black).
License agreement:
· To use the database please fill in
the license agreement and send a
scanned copy of the signed form by e-mail.
·
Download:
· The database can be downloaded from
the links below (the size of each part is between 1 and 2 GB).
· A password for decrypting the
compressed Zip files will be provided after receiving the duly signed license
agreement (see above).
How to reference the database:
· Reference this website
Contacts:
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welcome. Please provide your comments and suggestions by e-mail.