Dataset Versions

v1

FirstTestSet

Generated on Apr 22, 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.
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Dataset Split

Train Set 88%
159Images
Valid Set 7%
13Images
Test Set 5%
9Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -90° and +90°
Blur: Up to 6px
Noise: Up to 5% of pixels

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