Dataset Versions

v14

2023-03-26 1:12pm

Generated on Mar 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.
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Dataset Split

Train Set 88%
16395Images
Valid Set 8%
1556Images
Test Set 4%
685Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Grayscale: Apply to 5% of images
Brightness: Between -35% and +35%
Blur: Up to 1px
Bounding Box: Noise: Up to 1% of pixels

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