Datasetpublic

Mirali33/mb-change_cls_ctx

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… See the full description on the dataset page: https://huggingface.co/datasets/Mirali33/mb-change_cls_ctx.

sourceHugging Facecc-by-4.0updated 1y agoView on Hugging Face

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Dataset Card

mb-changeclsctx

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

python

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
}