---
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"](https://openaccess.thecvf.com/content_CVPRW_2019/html/AAMVEM/Pedersen_Detection_of_Marine_Animals_in_a_New_Underwater_Dataset_with_CVPRW_2019_paper.html) 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 name
  - `boxes`: Bounding boxes in normalized coordinates [x_min, y_min, x_max, y_max] (values in range [0, 1])