brackish_underwater / README.md
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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 name
    • boxes: Bounding boxes in normalized coordinates [x_min, y_min, x_max, y_max] (values in range [0, 1])