Dataset Versions

v1

2023-06-27 7:19pm

Generated on Jun 27, 2023

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%
231Images
Valid Set 8%
22Images
Test Set 4%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Exposure: Between -7% and +7%
Blur: Up to 0.75px
Noise: Up to 2% of pixels
Mosaic: Applied

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