TY - DATA
T1 - Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.
PY - 2023/08/03
AU - Maria Sokolova
AU - Manuel Cordova
AU - Henk Nap
AU - Edwin van Helmond
AU - Michiel Mans
AU - Arjan Vroegop
AU - Angelo Mencarelli
AU - Gert Kootstra
UR - 
DO - 10.4121/a6d5a40e-0358-47cf-9ec1-335df0e4a3c3.v1
KW - YOLOv5
KW - fisheries
KW - weight estimation
KW - occlusion
KW - computer vision
N2 - <p>The dataset contains images of the discarded fish on the conveyor belt and annotations. Annotations are prepared in YOLO format, i.e. separate text files, containing fish species label, object bounding box annotation, weight and occlusion level. Annotation per individual fish is written in a separate row of the file.</p><p>Additionally, we provide weight file (.pt) for the best performing Detection-Weight2 model.</p>
ER -