Dataset Versions

v1

2022-07-15 4:29pm

Generated on Jul 15, 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.
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Dataset Split

Train Set 86%
128Images
Valid Set 8%
12Images
Test Set 5%
8Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 44-98% Vertical Region
Resize: Stretch to 250x250
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 76% of images
Brightness: Between -46% and +46%

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