Dataset Versions

v10

2024-04-10 6:04pm

Generated on Apr 10, 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.
Other Formats
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Dataset Split

Train Set 93%
561Images
Valid Set 7%
44Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -12° and +12°
Saturation: Between -20% and +20%
Exposure: Between -9% and +9%
Blur: Up to 1.1px
Noise: Up to 0.5% of pixels

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