Dataset Versions

v1

2023-04-26 11:04pm

Generated on Apr 26, 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 81%
6000Images
Valid Set 9%
700Images
Test Set 9%
700Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±25° Horizontal, ±25° Vertical
Saturation: Between -40% and +40%
Exposure: Between -30% and +30%
Blur: Up to 2.75px
Noise: Up to 8% of pixels