TY - DATA
T1 - Data underlying the publication: Automatic discard registration in cluttered environments using deep learning and object tracking: class imbalance, occlusion, and a comparison to human review
PY - 2021/10/26
AU - Rick Essen, van
AU - Arjan Vroegop
AU - A. (Angelo) Mencarelli
AU - Aloysius van Helmond
AU - Linh Nyugen
AU - Jurgen Batsleer
AU - J.J. (Jan Jaap) Poos
AU - Gert Kootstra
UR - https://data.4tu.nl/articles/dataset/Data_underlying_the_publication_Automatic_discard_registration_in_cluttered_environments_using_deep_learning_and_object_tracking_class_imbalance_occlusion_and_a_comparison_to_human_review/16622566/1
DO - 10.4121/16622566.v1
KW - by-catch registration
KW - deep learning
KW - object detection
KW - object tracking
KW - electronic monitoring
KW - computer vision
N2 - Data for training and evaluation of a method for detection and counting demersal fish species in complex, cluttered and occluded environments that can be installed on the <br>conveyor belts of fishing vessels. The data mainly exists of images of fish on a conveyer belt with the corresponding annotations. This was used to train a neural network (YOLOv3) to detect and classify fish species. Because each fish is visible in multiple images, the fishes were tracked over consecutive images and the total number of fish per specie was counted. These counts were compared to human review.
ER -