Dataset Versions

v2

irc_belum_selesai

Generated on Apr 17, 2022

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 87%
528Images
Valid Set 8%
51Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 3 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -40% and +40%
Blur: Up to 3px
Noise: Up to 9% of pixels
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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