README.md

metadata

license: mit
dataset_info:
  config_name: suim
  features:
    - name: img
      dtype: image
    - name: mask
      dtype: image
  splits:
    - name: train
      num_bytes: 511917
      num_examples: 1525
    - name: test
      num_bytes: 35774
      num_examples: 110
  download_size: 183261195
  dataset_size: 547691
task_categories:
  - image-segmentation

The SUIM dataset is a dataset for semantic segmentation of underwater imagery.

The dataset consists of 1525 annotated images for training/validation and 110 samples for testing.

Object category	Symbol	Grayscale value
Background (waterbody)	BW	0 (black)
Human divers	HD	1 (blue)
Aquatic plants and sea-grass	PF	2 (green)
Wrecks and ruins	WR	3 (sky)
Robots (AUVs/ROVs/instruments)	RO	4 (red)
Reefs and invertebrates	RI	5 (pink)
Fish and vertebrates	FV	6 (yellow)
Sea-floor and rocks	SR	7 (white)

For more information about the original SUIM dataset, please visit the official dataset page:

https://irvlab.cs.umn.edu/resources/suim-dataset

Please refer to the original dataset source for any additional details, citations, or specific usage guidelines provided by the dataset creators.