Dataset Versions

v1

2022-07-27 11:28am

Generated on Jul 27, 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 88%
2487Images
Valid Set 8%
237Images
Test Set 4%
118Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Noise: Up to 5% of pixels

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