Dataset Versions

v10

2023-09-25 5:25pm

Generated on Sep 25, 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 87%
693Images
Valid Set 7%
53Images
Test Set 6%
47Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 5-90% Horizontal Region, 5-90% Vertical Region

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 30% of images
Hue: Between -40° and +40°
Saturation: Between -50% and +50%
Brightness: Between -35% and +35%
Exposure: Between -30% and +30%
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Noise: Up to 5% of pixels

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