Published October 18, 2024
| Version v1
Dataset
Open
MAELSTROM datasets
- 1. CNRS
- 2. University of Nîmes
- 3. LIRMM
- 4. DEXTER, LIRMM, Univ Montpellier, CNRS, Montpellier, France
Description
Three underwater macro-litter image datasets for object detection in YOLO format:
- UNO dataset: All details are available in From TrashCan to UNO: Deriving an Underwater Image Dataset to Get a More Consistent and Balanced Version, C.Barrelet et al, ICPR 2022
- MORGANE dataset: Images taken in shallow water in the harbors near Montpellier, France
- VENICE dataset: Images taken during the MAELSTROM experiments in Venice, Italy