Dataset Versions

v4

BETA 002

Generated on Mar 31, 2022

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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 93%
750Images
Valid Set 6%
46Images
Test Set 1%
10Images

Preprocessing

Resize: Stretch to 640x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -8° and +8°
Shear: ±4° Horizontal, ±1° Vertical
Exposure: Between -4% and +4%

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