Dataset Versions

v1

2024-07-15 12:29pm

Generated on Jul 15, 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 94%
14928Images
Valid Set 6%
1034Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1080x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 0.1% of pixels

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