Dataset Versions

v1

2024-09-25 9:22am

Generated on Sep 25, 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 88%
18198Images
Valid Set 8%
1584Images
Test Set 4%
855Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1000x1000
Grayscale: Applied
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Blur: Up to 5.7px
Noise: Up to 5.92% of pixels
Bounding Box: Rotation: Between -15° and +15°

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