DeepFish Dataset (April 2022 update)
Creators
- 1. University of Alicante
- 2. Instituto de Ecología Litoral
Description
Image bank of fish trays collected in the wholesale fish market in El Campello (Alicante, Spain) by artisanal fishing belonging to the DeepFish project.
The original fish tray images are provided in the "fish_tray_images_2021_MM_DD.zip" files. MM and DD stand for the month and initial day (e.g. 04_01 stands for the first of April and subsequent days, and 05_17 stands for the 17th of May, and subsequent days until the end of the month). The last zip file of this kind, 2021_06-09, contains all images from June to September.
JSON files (in fish_tray_json_labels.zip) are prepared to be used with the "Django Labeller" software, but can be converted to any format, e.g. "COCO" which is also provided in the "coco_format_fish_data.json" file.
Each of these JSON files is composed by an object containing the name of the image and the labels appearing in it. Inside each label, the following information is provided:
- Type of label. It can be a size (total, diameter of the eye...), tray or fish specie.
- Class of the label. It means the concrete specie, measurement or tray depending on the type of label.
- Semantic segmentation represented by one or multiple regions in case of occlusions. Represented by an array of coordinates in the image (x and y).
- Object_id: Identifier of the label, unique in the entire dataset.
- Father_object_id: In case this is not the main object (The label with the segmentation of the species). It will point to the identifier (ID) of that main species to which it belongs. It means, if this is the total size, it will point to the fish sized like that.
Furthermore, estimated fish sizes are also provided in the "size_estimation_homography_DeepFish.csv" file. These size estimations are calculated using homography of the known tray size, to convert from pixel units to centimetres.
Files
coco_format_fish_data.json
Files
(3.4 GB)
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Additional details
Related works
- Is new version of
- Dataset: 10.5281/zenodo.6008097 (DOI)
- Dataset: 10.5281/zenodo.5977870 (DOI)