Dataset Versions

v1

2023-02-21 4:54pm

Generated on Feb 21, 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.
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Dataset Split

Train Set 91%
19200Images
Valid Set 6%
1200Images
Test Set 4%
800Images

Preprocessing

Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Tile: 10 rows x 10 columns

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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