Dataset Versions

v1

2023-06-04 9:15pm

Generated on Jun 4, 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 92%
19368Images
Valid Set 4%
812Images
Test Set 4%
808Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between 0% and +14%
Exposure: Between -9% and +9%
Bounding Box: Brightness: Between 0% and +14%