Dataset Versions

v4

2022-08-01 11:30am

Generated on Aug 1, 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.
Other Formats
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Dataset Split

Train Set 93%
2412Images
Valid Set 4%
96Images
Test Set 4%
96Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Hue: Between -100° and +100°
Saturation: Between -50% and +50%
Brightness: Between -50% and +50%
Exposure: Between -30% and +30%
Blur: Up to 10px
Noise: Up to 7% of pixels

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