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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  dataset_info:
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  features:
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  - name: image
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  names:
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  '0': dusty
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  '1': not_dusty
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- splits:
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- num_bytes: 14924222.586
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- num_examples: 2454
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- download_size: 201145587
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- dataset_size: 190138811.01999998
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: test
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- path: data/test-*
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- path: data/val-*
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- - split: few_shot_train_5_shot
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- path: data/partition_train_0.50x_partition-*
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- - split: partition_train_0.20x_partition
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- path: data/partition_train_0.20x_partition-*
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- - split: partition_train_0.05x_partition
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- path: data/partition_train_0.05x_partition-*
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- - split: partition_train_0.10x_partition
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- path: data/partition_train_0.10x_partition-*
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- - split: partition_train_0.25x_partition
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- path: data/partition_train_0.25x_partition-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - found
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+ language:
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+ - en
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+ license:
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+ - cc-by-4.0
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - image-classification
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+ task_ids:
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+ - multi-class-image-classification
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+ pretty_name: mb-atmospheric_dust_cls_rdr_upd
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  dataset_info:
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  features:
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  - name: image
 
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  names:
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  '0': dusty
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  '1': not_dusty
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # mb-atmospheric_dust_cls_rdr_upd
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+
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+ A Mars image classification dataset for planetary science research.
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+
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+ ## Dataset Metadata
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+
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+ * **License:** CC-BY-4.0 (Creative Commons Attribution 4.0 International)
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+ * **Version:** 1.0
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+ * **Date Published:** 2025-05-22
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+ * **Cite As:** TBD
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+
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+ ## Classes
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+
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+ This dataset contains the following classes:
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+
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+ - 0: dusty
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+ - 1: not_dusty
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+
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+ ## Statistics
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+
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+ - **train**: 9817 images
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+ - **test**: 5214 images
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+ - **val**: 4969 images
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+ - **few_shot_train_2_shot**: 4 images
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+ - **few_shot_train_1_shot**: 2 images
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+ - **few_shot_train_10_shot**: 20 images
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+ - **few_shot_train_5_shot**: 10 images
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+ - **few_shot_train_15_shot**: 30 images
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+ - **few_shot_train_20_shot**: 40 images
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+ - **partition_train_0.01x_partition**: 98 images
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+ - **partition_train_0.02x_partition**: 196 images
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+ - **partition_train_0.50x_partition**: 4908 images
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+ - **partition_train_0.20x_partition**: 1963 images
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+ - **partition_train_0.05x_partition**: 490 images
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+ - **partition_train_0.10x_partition**: 981 images
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+ - **partition_train_0.25x_partition**: 2454 images
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+
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+ ## Few-shot Splits
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+
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+ This dataset includes the following few-shot training splits:
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+
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+ - **few_shot_train_2_shot**: 4 images
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+ - **few_shot_train_1_shot**: 2 images
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+ - **few_shot_train_10_shot**: 20 images
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+ - **few_shot_train_5_shot**: 10 images
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+ - **few_shot_train_15_shot**: 30 images
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+ - **few_shot_train_20_shot**: 40 images
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+
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+ Few-shot configurations:
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+
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+ - **2_shot.csv**
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+ - **1_shot.csv**
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+ - **10_shot.csv**
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+ - **5_shot.csv**
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+ - **15_shot.csv**
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+ - **20_shot.csv**
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+ ## Partition Splits
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+
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+ This dataset includes the following training data partitions:
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+
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+ - **partition_train_0.01x_partition**: 98 images
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+ - **partition_train_0.02x_partition**: 196 images
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+ - **partition_train_0.50x_partition**: 4908 images
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+ - **partition_train_0.20x_partition**: 1963 images
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+ - **partition_train_0.05x_partition**: 490 images
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+ - **partition_train_0.10x_partition**: 981 images
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+ - **partition_train_0.25x_partition**: 2454 images
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("Mirali33/mb-atmospheric_dust_cls_rdr_upd")
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+ ```
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+
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+ ## Format
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+
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+ Each example in the dataset has the following format:
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+
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+ ```
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+ {
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+ 'image': Image(...), # PIL image
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+ 'label': int, # Class label
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+ }
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+ ```