Dataset Versions

v12

2024-12-29 11:57am

Generated on Dec 29, 2024

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 88%
1260Images
Valid Set 8%
120Images
Test Set 4%
58Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1920
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -21° and +21°
Saturation: Between -32% and +32%
Brightness: Between -21% and +21%
Exposure: Between -7% and +7%