Dataset Versions

v1

2023-07-09 4:59pm

Generated on Jul 9, 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.
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Dataset Split

Train Set 87%
7074Images
Valid Set 9%
693Images
Test Set 4%
333Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 47% of images
Cutout: 3 boxes with 10% size each

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