Datasets:
Tasks:
Object Detection
Formats:
parquet
Sub-tasks:
instance-segmentation
Languages:
English
Size:
1K - 10K
License:
File size: 1,793 Bytes
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---
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")
```
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