Dataset Versions

v2

2023-09-14 3:42pm

Generated on Sep 14, 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%
4632Images
Valid Set 5%
258Images
Test Set 1%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 71% of images
Hue: Between -101° and +101°
Saturation: Between -75% and +75%
Brightness: Between -51% and +51%
Exposure: Between -21% and +21%
Blur: Up to 2.5px
Noise: Up to 11% of pixels
Mosaic: Applied