Dataset Versions

v6

2022-10-08 11:29pm

Generated on Oct 8, 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.
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Dataset Split

Train Set 88%
231Images
Valid Set 8%
21Images
Test Set 4%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x500

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -34° and +34°
Hue: Between -73° and +73°
Brightness: Between -28% and +28%
Exposure: Between -8% and +8%
Noise: Up to 2% of pixels

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