Dataset Versions

v7

2023-10-12 7:49pm

Generated on Oct 12, 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 88%
4899Images
Valid Set 6%
320Images
Test Set 6%
333Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Exposure: Between -25% and +25%
Blur: Up to 10px
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels

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