Datasets:

gremlin97
/

domarks16k

annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - en
license:
  - cc-by-4.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - image-classification
task_ids:
  - multi-class-image-classification
pretty_name: domarks16k
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': aec
            '1': ael
            '2': cli
            '3': cra
            '4': fse
            '5': fsf
            '6': fsg
            '7': fss
            '8': mix
            '9': rid
            '10': rou
            '11': sfe
            '12': sfx
            '13': smo
            '14': tex

domarks16k

A Mars image classification dataset for planetary science research.

Dataset Metadata

License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
Version: 1.0
Date Published: 2025-05-09
Cite As: TBD

Classes

This dataset contains the following classes:

0: aec
1: ael
2: cli
3: cra
4: fse
5: fsf
6: fsg
7: fss
8: mix
9: rid
10: rou
11: sfe
12: sfx
13: smo
14: tex

Statistics

train: 11305 images
test: 1614 images
val: 3231 images
few_shot_train_5_shot: 75 images
partition_train_0.02x: 225 images

Few-shot Splits

This dataset includes the following few-shot training splits:

few_shot_train_5_shot: 75 images

Few-shot configurations:

5_shot.json

Partition Splits

This dataset includes the following training data partitions:

partition_train_0.02x: 225 images

Usage

from datasets import load_dataset

dataset = load_dataset("gremlin97/domarks16k")

Format

Each example in the dataset has the following format:

{
  'image': Image(...),  # PIL image
  'label': int,         # Class label
}