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:
  - object-detection
task_ids:
  - instance-segmentation
pretty_name: mb-dust_devil_det

mb-dust_devil_det Dataset

An object detection dataset in YOLO format containing 10 splits: train, val, test, 0.01x_partition, 0.02x_partition, 0.50x_partition, 0.20x_partition, 0.05x_partition, 0.10x_partition, 0.25x_partition.

Dataset Metadata

• License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
• Version: 1.0
• Date Published: 2025-05-14
• Cite As: TBD

Dataset Details

• Format: YOLO
• Splits: train, val, test, 0.01x_partition, 0.02x_partition, 0.50x_partition, 0.20x_partition, 0.05x_partition, 0.10x_partition, 0.25x_partition

Partitions

This dataset includes the following partitions:

• 0.01x_partition: Available as a single split named '0.01x_partition'
• 0.02x_partition: Available as a single split named '0.02x_partition'
• 0.50x_partition: Available as a single split named '0.50x_partition'
• 0.20x_partition: Available as a single split named '0.20x_partition'
• 0.05x_partition: Available as a single split named '0.05x_partition'
• 0.10x_partition: Available as a single split named '0.10x_partition'
• 0.25x_partition: Available as a single split named '0.25x_partition'

Additional Formats

• Includes COCO format annotations
• Includes Pascal VOC format annotations

Usage

from datasets import load_dataset

# Load the main dataset
dataset = load_dataset("Mirali33/mb-dust_devil_det")

# Load a specific partition
partition_dataset = load_dataset("Mirali33/mb-dust_devil_det", "0.05x_partition")