Dataset Versions

v1

2024-03-28 5:20pm

Generated on Mar 28, 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.
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Dataset Split

Train Set 89%
585Images
Valid Set 8%
53Images
Test Set 3%
23Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 3-85% Horizontal Region, 12-75% Vertical Region
Resize: Stretch to 500x500
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%