Dataset Versions

v2

FIX HUBUNGAN V2

Generated on Jun 11, 2023

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 88%
5805Images
Valid Set 8%
549Images
Test Set 4%
276Images

Preprocessing

Resize: Stretch to 320x320
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Shear: ±7° Horizontal, ±7° Vertical
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Blur: Up to 1.25px
Bounding Box: Noise: Up to 3% of pixels