README.md

metadata

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: mb-change_cls_ctx
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': no_change
            '1': change

mb-change_cls_ctx

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: no_change
• 1: change

Statistics

• train: 72 images
• test: 20 images
• val: 20 images
• partition_train_0.50x_partition: 18 images
• partition_train_0.20x_partition: 7 images
• partition_train_0.10x_partition: 3 images
• partition_train_0.25x_partition: 9 images

Partition Splits

This dataset includes the following training data partitions:

• partition_train_0.50x_partition: 18 images
• partition_train_0.20x_partition: 7 images
• partition_train_0.10x_partition: 3 images
• partition_train_0.25x_partition: 9 images

Usage

from datasets import load_dataset

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

Format

Each example in the dataset has the following format:

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