Dataset Versions

v5

2024-02-23 6:48pm

Generated on Feb 23, 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 88%
1296Images
Valid Set 8%
123Images
Test Set 4%
62Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -14% and +14%
Blur: Up to 4px
Noise: Up to 1.92% of pixels

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