Dataset Versions

v2

2024-11-14 2-09pm

Generated on Nov 14, 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 88%
1098Images
Valid Set 8%
96Images
Test Set 4%
54Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -23% and +23%
Exposure: Between -17% and +17%
Blur: Up to 1.3px
Noise: Up to 0.5% of pixels
Bounding Box: Brightness: Between -16% and +16%
Bounding Box: Blur: Up to 1.2px
Bounding Box: Noise: Up to 0.14% of pixels

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