README.md

---
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

```python
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")
```