Dataset Versions

v5

2023-12-08 8:46pm

Generated on Dec 8, 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 81%
390Images
Valid Set 9%
44Images
Test Set 10%
48Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 20-73% Horizontal Region, 25-88% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -19° and +19°
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: Shear: ±11° Horizontal, ±8° Vertical
Bounding Box: Brightness: Between -25% and +25%