Dataset Versions

v7

2023-05-24 2:25pm

Generated on May 24, 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 80%
1302Images
Valid Set 14%
221Images
Test Set 6%
101Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±8° Horizontal, ±8° Vertical
Brightness: Between -9% and +9%
Exposure: Between -5% and +5%