Dataset Versions

v5

2022-10-29 5:43pm

Generated on Oct 29, 2022

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%
255Images
Valid Set 12%
36Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 4% of images
Hue: Between -44° and +44°
Saturation: Between -48% and +48%
Brightness: Between -49% and +0%
Blur: Up to 1.25px
Noise: Up to 4% of pixels

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