Dataset Versions

v1

2023-01-31 10:57am

Generated on Jan 31, 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.
Other Formats
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Dataset Split

Train Set 88%
126Images
Valid Set 8%
12Images
Test Set 4%
6Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 35% of images
Bounding Box: Rotation: Between -12° and +12°
Bounding Box: Shear: ±4° Horizontal, ±4° Vertical
Bounding Box: Exposure: Between -25% and +25%

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