Dataset Versions

v1

2023-04-13 2:04pm

Generated on Apr 13, 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 85%
588Images
Valid Set 9%
65Images
Test Set 5%
36Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 36-90% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±9° Horizontal, ±9° Vertical
Brightness: Between -56% and +0%
Bounding Box: Flip: Vertical

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