Dataset Versions

v14

2024-07-01 7:11am

Generated on Jul 1, 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 81%
2292Images
Valid Set 9%
254Images
Test Set 11%
301Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 480x480
Modify Classes: 14 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -9° and +9°
Shear: ±12° Horizontal, ±7° Vertical
Saturation: Between -13% and +13%
Brightness: Between -7% and +7%
Exposure: Between -13% and +13%
Blur: Up to 0.3px
Noise: Up to 0.24% of pixels

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