Dataset Versions

v16

SnakeV8

Generated on Feb 13, 2024

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 88%
1650Images
Valid Set 8%
150Images
Test Set 4%
73Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 480x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -8° and +8°
Saturation: Between -52% and +52%
Blur: Up to 0.1px
Noise: Up to 0.5% of pixels
Mosaic: Applied

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