Dataset Versions

v2

heli_old

Generated on Sep 7, 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 73%
2403Images
Valid Set 18%
594Images
Test Set 9%
296Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Grayscale: Apply to 30% of images
Brightness: Between -40% and +40%
Blur: Up to 3px

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