Kwamina OP

footstats_gye_ball

Object Detection

footstats_gye_ball Image Dataset

v4

2023-12-12 5:31pm

Generated on Dec 12, 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 86%
257Images
Valid Set 10%
29Images
Test Set 5%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 160x144
Tile: 5 rows x 8 columns
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Blur: Up to 2.75px
Noise: Up to 5% of pixels
Cutout: 1 boxes with 45% size each