Datasets:
Tasks:
Image Classification
Formats:
parquet
Sub-tasks:
multi-label-image-classification
Languages:
English
Size:
1K - 10K
License:
Add dataset README with metadata
Browse files
README.md
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task_ids:
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- multi-label-image-classification
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pretty_name: mars-multi-label-classification
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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: val
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path: data/val-*
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- split: test
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path: data/test-*
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dataset_info:
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features:
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- name: image
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dtype: image
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- name: labels
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sequence: int8
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- name: feature_names
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sequence: string
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splits:
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- name: train
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num_bytes: 189511167.738
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num_examples: 1762
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- name: val
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num_bytes: 48685102.0
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num_examples: 443
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- name: test
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num_bytes: 78350787.0
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num_examples: 739
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download_size: 320118588
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dataset_size: 316547056.73800004
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---
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# mars-multi-label-classification
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- **train**: 1762 images
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- **val**: 443 images
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- **test**: 739 images
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- **few_shot_train_15_shot**: 1357 images
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- **few_shot_train_1_shot**: 1198 images
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- **few_shot_train_20_shot**: 1402 images
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- **few_shot_train_2_shot**: 1212 images
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- **few_shot_train_5_shot**: 1249 images
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## Few-shot Splits
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This dataset includes the following few-shot training splits:
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- **few_shot_train_10_shot**: 1310 images
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- **few_shot_train_15_shot**: 1357 images
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- **few_shot_train_1_shot**: 1198 images
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- **few_shot_train_20_shot**: 1402 images
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- **few_shot_train_2_shot**: 1212 images
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- **few_shot_train_5_shot**: 1249 images
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Few-shot configurations:
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- **10_shot.csv**
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- **15_shot.csv**
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- **1_shot.csv**
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- **20_shot.csv**
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- **2_shot.csv**
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- **5_shot.csv**
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## Format
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Each example in the dataset has the following format:
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task_ids:
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- multi-label-image-classification
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pretty_name: mars-multi-label-classification
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---
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# mars-multi-label-classification
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- **train**: 1762 images
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- **val**: 443 images
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- **test**: 739 images
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## Format
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Each example in the dataset has the following format:
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