Datasets:
metadata
license: cc-by-4.0
task_categories:
- object-detection
tags:
- underwater
- marine-life
- brackish-water
pretty_name: Brackish Underwater
size_categories:
- 10K<n<100K
Brackish Underwater
An object detection dataset of underwater footage from brackish water environments in temperate waters, featuring various marine animals.
Background
This dataset was introduced in the CVPR 2019 workshop paper "Detection of Marine Animals in a New Underwater Dataset with Varying Visibility" by Pedersen, Haurum, Gade, and Moeslund from Aalborg University.
The images were captured from permanently mounted cameras in saltwater straits for long-term marine species monitoring. It is one of the first annotated underwater image datasets from temperate waters.
Classes
- crab
- fish
- jellyfish
- shrimp
- small_fish
- starfish
Splits
| Split | Images |
|---|---|
| train | 9,967 |
| test | 1,238 |
| valid | 1,239 |
Data Format
Each example contains:
image: The image (1920x1080)objects: List of detected objects, each with:name: Class nameboxes: Bounding boxes in normalized coordinates [x_min, y_min, x_max, y_max] (values in range [0, 1])