Dataset Versions

v1

2024-08-28 1:54pm

Generated on Aug 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.
Other Formats
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Dataset Split

Train Set 82%
1424Images
Valid Set 12%
204Images
Test Set 6%
100Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Noise: Up to 0.1% of pixels
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical