Dataset Versions

v6

2024-11-04 12:21am

Generated on Nov 4, 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 92%
2160Images
Valid Set 4%
90Images
Test Set 4%
92Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±24° Vertical
Hue: Between -115° and +115°
Brightness: Between -48% and +0%
Noise: Up to 2.55% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Noise: Up to 0.5% of pixels

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