Dataset Versions

Versions
2022-02-15 4:51pm
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2022-02-14 10:57am
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2022-02-11 2:11pm
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2022-02-10 3:08pm
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2022-02-10 12:51pm
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2022-02-10 10:05am
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2022-02-10 9:18am
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2022-02-09 4:56pm
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2022-01-19 12:10pm
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2022-01-18 11:58am
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2022-01-17 3:00pm
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2022-01-17 1:53pm
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2022-01-14 4:37pm
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v98

2022-02-10 9:18am

Generated on Feb 10, 2022

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 88%
992Images
Valid Set 10%
111Images
Test Set 2%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1480x1480
Tile: 2 rows x 1 columns
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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