Dataset Versions

v12

2024-11-03 7:57am

Generated on Nov 3, 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 88%
2193Images
Valid Set 8%
211Images
Test Set 3%
87Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Tile: 5 rows x 5 columns
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -20% and +20%
Blur: Up to 0.9px
Noise: Up to 0.73% of pixels

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