Dataset Versions

v17

2023-06-29 8:00pm

Generated on Jun 30, 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 81%
9246Images
Valid Set 12%
1320Images
Test Set 7%
789Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -2° and +2°
Hue: Between -31° and +31°
Brightness: Between -4% and +4%
Exposure: Between -4% and +4%
Noise: Up to 5% of pixels

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