Dataset Versions

v3

2023-10-13 10:24pm

Generated on Oct 13, 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 88%
189Images
Valid Set 8%
18Images
Test Set 4%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise
Rotation: Between -15° and +15°
Hue: Between -31° and +31°
Saturation: Between -13% and +13%
Brightness: Between -30% and +30%
Exposure: Between -35% and +35%
Blur: Up to 2.5px
Noise: Up to 10% of pixels

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