Dataset Versions

v14

2023-03-06 11:20pm

Generated on Mar 6, 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 87%
8400Images
Valid Set 4%
412Images
Test Set 8%
800Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 11 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 95% of images
Hue: Between -78° and +78°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Bounding Box: Rotation: Between -7° and +7°
Bounding Box: Brightness: Between -70% and +70%