Dataset Versions

v6

2024-04-29 3:45am

Generated on Apr 28, 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 80%
528Images
Valid Set 7%
44Images
Test Set 13%
88Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 1 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1.4px
Noise: Up to 1.53% of pixels

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