Dataset Versions

v2

2022-11-21 10:52am

Generated on Nov 21, 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
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Dataset Split

Train Set 98%
1140Images
Valid Set 1%
16Images
Test Set 0%
4Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 50-98% Vertical Region
Resize: Stretch to 1280x1280
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 15
Flip: Vertical
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Cutout: 5 boxes with 3% size each