Dataset Versions

v1

2024-09-26 3:20pm

Generated on Sep 26, 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%
14283Images
Valid Set 8%
1360Images
Test Set 4%
680Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 11 dropped

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Noise: Up to 0.1% of pixels

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