Dataset Versions

v5

Grayscale_v1

Generated on Feb 25, 2024

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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
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Dataset Split

Train Set 87%
944Images
Valid Set 8%
89Images
Test Set 4%
46Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -1% and +1%
Exposure: Between -1% and +1%

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