Dataset Versions

v2

2023-03-24 3:14am

Generated on Mar 24, 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 92%
26892Images
Valid Set 5%
1600Images
Test Set 3%
768Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1080x1080
Tile: 2 rows x 2 columns
Modify Classes: 3 remapped, 4 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Blur: Up to 4px
Noise: Up to 4% of pixels
Cutout: 8 boxes with 16% size each
Mosaic: Applied

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