Dataset Versions

v6

2024-08-22 5:31am

Generated on Aug 22, 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%
894Images
Valid Set 9%
87Images
Test Set 4%
39Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.18% of pixels

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