Dataset Versions

v1

2024-05-28 11:30pm

Generated on May 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 90%
1944Images
Valid Set 6%
139Images
Test Set 3%
68Images

Preprocessing

Resize: Fit (black edges) in 2000x2000

Augmentations

Outputs per training example: 4
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels