Dataset Viewer
Auto-converted to Parquet
The dataset viewer is not available for this split.
Server error while post-processing the split rows. Please report the issue.
Error code:   RowsPostProcessingError

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

mb-mmls

A segmentation dataset for planetary science applications.

Dataset Metadata

  • License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
  • Version: 1.0
  • Date Published: 2025-05-15
  • Cite As: TBD

Classes

This dataset contains the following classes:

  • 0: Background
  • 1: Landslide

Directory Structure

The dataset follows this structure:

dataset/
  ├── train/
  │   ├── images/  # Image files
  │   └── masks/   # Segmentation masks
  ├── val/
  │   ├── images/  # Image files
  │   └── masks/   # Segmentation masks
  ├── test/
  │   ├── images/  # Image files
  │   └── masks/   # Segmentation masks

Statistics

  • train: 275 images
  • val: 31 images
  • test: 256 images
  • partition_train_0.01x_partition: 2 images
  • partition_train_0.02x_partition: 5 images
  • partition_train_0.50x_partition: 137 images
  • partition_train_0.20x_partition: 55 images
  • partition_train_0.05x_partition: 13 images
  • partition_train_0.10x_partition: 27 images
  • partition_train_0.25x_partition: 68 images

Usage

from datasets import load_dataset

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

Format

Each example in the dataset has the following format:

{
  'image': Image(...),      # PIL image
  'mask': Image(...),       # PIL image of the segmentation mask
  'width': int,             # Width of the image
  'height': int,            # Height of the image
  'class_labels': [str,...] # List of class names present in the mask
}
Downloads last month
59

Collection including Mirali33/mb-mmls