Dataset Versions

v4

2023-09-20 10:40pm

Generated on Sep 20, 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.
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Dataset Split

Train Set 90%
297Images
Valid Set 4%
12Images
Test Set 7%
22Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-75% Horizontal Region, 0-90% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Bounding Box: Flip: Vertical

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