Mars-Bench
Collection
32 items
•
Updated
Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
10K - 100K
License:
Dataset Viewer
Search is not available for this dataset
image
imagewidth (px) 256
256
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class label 36
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13gro
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9drh
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30sco
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14hor
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32tur
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9drh
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11drt
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32tur
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13gro
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14hor
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23obt
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20mas
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32tur
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23obt
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21mca
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13gro
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13gro
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13gro
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13gro
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32tur
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9drh
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32tur
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13gro
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23obt
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32tur
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25ptu
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5cio
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13gro
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30sco
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15inl
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32tur
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25ptu
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9drh
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13gro
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13gro
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13gro
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32tur
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13gro
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11drt
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32tur
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5cio
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21mca
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13gro
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9drh
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13gro
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21mca
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23obt
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13gro
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21mca
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0apx
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15inl
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32tur
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13gro
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9drh
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13gro
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5cio
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13gro
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13gro
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9drh
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30sco
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13gro
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32tur
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11drt
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19mct
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30sco
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21mca
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23obt
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32tur
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32tur
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13gro
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30sco
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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
}
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Number of rows:
18,513