Dataset Versions

v10

Colorful - 640x640 - non-mosaic

Generated on Mar 27, 2022

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 65%
1323Images
Valid Set 17%
349Images
Test Set 17%
351Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 20% of images
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.25px
Noise: Up to 1% of pixels
Cutout: 5 boxes with 5% size each

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