Dataset Versions

v5

ImgAug_Aakash

Generated on Aug 17, 2023

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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 81%
2994Images
Valid Set 19%
710Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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