Dataset Versions

v1

2023-10-10 1:46pm

Generated on Oct 10, 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%
852Images
Valid Set 9%
84Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -41% and +41%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each
Mosaic: Applied

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