Dataset Versions

v1

2023-09-03 8:20pm

Generated on Sep 3, 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 92%
1176Images
Valid Set 4%
49Images
Test Set 4%
49Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -25° and +25°
Brightness: Between -35% and +35%
Exposure: Between -41% and +41%
Noise: Up to 5% of pixels

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