Dataset Versions

v1

2023-12-15 4:37pm

Generated on Dec 15, 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.
Other Formats
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Dataset Split

Train Set 97%
90Images
Valid Set %
0Images
Test Set 3%
3Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -6° and +6°
Shear: ±15° Horizontal, ±12° Vertical
Saturation: Between -5% and +5%
Brightness: Between -30% and +30%
Exposure: Between -5% and +5%
Blur: Up to 1.75px
Noise: Up to 1% of pixels

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