Dataset Versions

v3

2023-09-29 12:54pm

Generated on Sep 29, 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 94%
309Images
Valid Set 6%
19Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Rotation: Between -35° and +35°
Shear: ±15° Horizontal, ±13° Vertical
Grayscale: Apply to 52% of images
Hue: Between -108° and +108°
Saturation: Between -72% and +72%
Brightness: Between -31% and +31%
Exposure: Between -16% and +16%
Blur: Up to 0px