Dataset Versions

v14

SnakeV6

Generated on Feb 12, 2024

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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 88%
1599Images
Valid Set 8%
150Images
Test Set 4%
68Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 480x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -44° and +44°
Saturation: Between -57% and +57%
Brightness: Between -36% and +36%
Blur: Up to 0.9px
Noise: Up to 2.56% of pixels
Mosaic: Applied

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