Dataset Versions

v5

2021-10-26 10:57pm

Generated on Oct 26, 2021

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 89%
495Images
Valid Set 8%
42Images
Test Set 4%
21Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -21° and +21°
Shear: ±19° Horizontal, ±19° Vertical
Grayscale: Apply to 25% of images
Noise: Up to 1% of pixels
Bounding Box: Rotation: Between -14° and +14°
Bounding Box: Shear: ±10° Horizontal, ±11° Vertical

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