Dataset Versions

v1

2023-01-31 6:56pm

Generated on Jan 31, 2023

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
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Dataset Split

Train Set 76%
168Images
Valid Set 15%
32Images
Test Set 9%
20Images

Preprocessing

Auto-Orient: Applied
Static Crop: 12-74% Horizontal Region, 22-66% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±17° Vertical
Cutout: 25 boxes with 6% size each

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