Dataset Versions

v6

2023-11-14 10:27pm

Generated on Nov 14, 2023

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 78%
5644Images
Valid Set 13%
972Images
Test Set 9%
660Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 600x600
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -9° and +9°
Saturation: Between -25% and +25%
Brightness: Between 0% and +25%

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