Dataset Versions

v7

2024-04-13 11:01pm

Generated on Apr 14, 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.
Other Formats
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Dataset Split

Train Set 86%
1353Images
Valid Set 8%
130Images
Test Set 6%
88Images

Preprocessing

Isolate Objects: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -27% and +27%
Blur: Up to 1.8px
Noise: Up to 0.42% of pixels

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