Dataset Versions

v2

2024-02-16 2:03pm

Generated on Feb 16, 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%
21Images
Valid Set 8%
2Images
Test Set 4%
1Images

Preprocessing

Auto-Orient: Applied
Static Crop: 9-47% Horizontal Region, 14-49% Vertical Region
Resize: Fit within 640x640
Tile: 1 rows x 1 columns

Augmentations

Outputs per training example: 3
Hue: Between -14° and +14°
Saturation: Between -30% and +30%

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