Dataset Versions

v12

2024-12-14 1:03pm

Generated on Dec 14, 2024

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%
1506Images
Valid Set 6%
108Images
Test Set 6%
107Images

Preprocessing

Static Crop: 11-90% Horizontal Region, 11-90% Vertical Region
Dynamic Crop: Class: Block
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical

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