Dataset Versions

v3

2023-06-01 7:10pm

Generated on Jun 1, 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 90%
846Images
Valid Set 9%
88Images
Test Set 0%
4Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -8° and +8°
Hue: Between -11° and +11°
Saturation: Between -43% and +43%
Brightness: Between -18% and +18%
Exposure: Between -10% and +10%
Noise: Up to 1% of pixels

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