Dataset Versions

v8

Label1000.04

Generated on Oct 15, 2022

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 87%
4056Images
Valid Set 8%
386Images
Test Set 4%
194Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -70% and +70%
Blur: Up to 15px
Noise: Up to 10% of pixels

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