Dataset Versions

v5

2023-06-28 11:05pm

Generated on Jun 29, 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 92%
1170Images
Valid Set 3%
39Images
Test Set 5%
68Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 37% Minimum Zoom, 57% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px

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