Dataset Versions

v1

at-2492

Generated on Jan 23, 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 92%
2295Images
Valid Set 5%
131Images
Test Set 3%
66Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 5
Hue: Between -10° and +10°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 6px
Noise: Up to 5% of pixels

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