Dataset Versions

v3

Aqua Pen - V8 - Only Dead - Augmentation

Generated on May 2, 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 86%
524Images
Valid Set 9%
55Images
Test Set 4%
27Images

Preprocessing

Resize: Stretch to 416x416
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -15% and +15%
Exposure: Between -15% and +15%