Dataset Versions

v1

2022-11-22 7:34pm

Generated on Nov 22, 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 87%
117Images
Valid Set 9%
12Images
Test Set 4%
6Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -17° and +17°
Shear: ±18° Horizontal, ±21° Vertical
Hue: Between -57° and +57°
Brightness: Between -17% and +17%
Exposure: Between -14% and +14%
Noise: Up to 8% of pixels

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