Dataset Versions

v3

2024-11-12 3:28am

Generated on Nov 12, 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 86%
672Images
Valid Set 8%
65Images
Test Set 6%
43Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Fit within 640x640
Tile: 4 rows x 4 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Noise: Up to 0.81% of pixels

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