Dataset Versions

v7

2024-08-13 11:17pm

Generated on Aug 13, 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 88%
3435Images
Valid Set 8%
320Images
Test Set 4%
145Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.91% of pixels
Bounding Box: Rotation: Between -13° and +13°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical