mb-surface_cls

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: 2025-05-14
• Cite As: TBD

Classes

This dataset contains the following classes:

• 0: apx
• 1: act
• 2: arm
• 3: art
• 4: cct
• 5: cio
• 6: clr
• 7: dls
• 8: dri
• 9: drh
• 10: drp
• 11: drt
• 12: flr
• 13: gro
• 14: hor
• 15: inl
• 16: lar
• 17: ltv
• 18: mah
• 19: mct
• 20: mas
• 21: mca
• 22: nsk
• 23: obt
• 24: pbo
• 25: ptu
• 26: pto
• 27: rem
• 28: rrd
• 29: san
• 30: sco
• 31: sun
• 32: tur
• 33: whe
• 34: whj
• 35: wht

Statistics

• train: 6580 images
• test: 1594 images
• val: 1293 images
• few_shot_train_2_shot: 72 images
• few_shot_train_1_shot: 36 images
• few_shot_train_10_shot: 355 images
• few_shot_train_5_shot: 180 images
• few_shot_train_15_shot: 522 images
• few_shot_train_20_shot: 673 images
• partition_train_0.01x_partition: 66 images
• partition_train_0.02x_partition: 132 images
• partition_train_0.50x_partition: 3086 images
• partition_train_0.20x_partition: 1316 images
• partition_train_0.05x_partition: 330 images
• partition_train_0.10x_partition: 661 images
• partition_train_0.25x_partition: 1617 images

Few-shot Splits

This dataset includes the following few-shot training splits:

• few_shot_train_2_shot: 72 images
• few_shot_train_1_shot: 36 images
• few_shot_train_10_shot: 355 images
• few_shot_train_5_shot: 180 images
• few_shot_train_15_shot: 522 images
• few_shot_train_20_shot: 673 images

Few-shot configurations:

• 2_shot.csv
• 1_shot.csv
• 10_shot.csv
• 5_shot.csv
• 15_shot.csv
• 20_shot.csv

Partition Splits

This dataset includes the following training data partitions:

• partition_train_0.01x_partition: 66 images
• partition_train_0.02x_partition: 132 images
• partition_train_0.50x_partition: 3086 images
• partition_train_0.20x_partition: 1316 images
• partition_train_0.05x_partition: 330 images
• partition_train_0.10x_partition: 661 images
• partition_train_0.25x_partition: 1617 images

Usage

from datasets import load_dataset

dataset = load_dataset("Mirali33/mb-surface_cls")

Format

Each example in the dataset has the following format:

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