Dataset Versions

v5

2024-08-04 6:40pm

Generated on Aug 4, 2024

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%
378Images
Valid Set 8%
32Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -23° and +23°
Brightness: Between -13% and +13%
Exposure: Between -14% and +14%
Blur: Up to 1.9px
Noise: Up to 2% of pixels

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