Dataset Versions

v2

2022-12-29 12:13pm

Generated on Dec 29, 2022

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 100%
745Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 1024x1024
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 5
Flip: Applied
Rotation: Between -5° and +5°
Shear: ±6° Horizontal, ±6° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.75px
Noise: Up to 15% of pixels

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