Dataset Versions

v8

Augmented_Bigger_Dataset_V1

Generated on Jul 10, 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 87%
969Images
Valid Set 8%
90Images
Test Set 5%
50Images

Preprocessing

Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -35° and +35°
Saturation: Between -40% and +40%
Brightness: Between -20% and +20%
Blur: Up to 2px