Dataset Versions

v2

2024-10-02 1:56pm

Generated on Oct 2, 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.
Other Formats
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Dataset Split

Train Set 87%
3534Images
Valid Set 8%
337Images
Test Set 4%
168Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±12° Vertical
Brightness: Between -57% and +57%
Blur: Up to 2.9px
Bounding Box: Rotation: Between -15° and +15°

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