Dataset Versions

v6

2023-11-05 8:18pm

Generated on Nov 5, 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 100%
8022Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns
Filter Null: Require at least 20% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -34° and +34°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 7% of pixels
Bounding Box: Blur: Up to 1.5px

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