Dataset Versions

v3

2023-03-25 1:47pm

Generated on Mar 25, 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%
6723Images
Valid Set 5%
400Images
Test Set 3%
192Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1080x1080
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
Mosaic: Applied

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