Dataset Versions

v3

Non_Augmented Data

Generated on Apr 3, 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.
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Dataset Split

Train Set 75%
2921Images
Valid Set 15%
584Images
Test Set 10%
390Images

Preprocessing

Resize: Stretch to 1920x1080

Augmentations

Outputs per training example: 1
Saturation: Between -0% and +0%
Exposure: Between -0% and +0%
Blur: Up to 0px
Noise: Up to 0% of pixels

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