Dataset Versions

v3

2025-01-02 9:28am

Generated on Jan 2, 2025

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
Choose another format.

Dataset Split

Train Set 87%
300Images
Valid Set 9%
30Images
Test Set 5%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 800x800

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -7° and +7°
Shear: ±4° Horizontal, ±4° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%