Dataset Versions

v2

2022-09-29 12:41am

Generated on Sep 29, 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.
Other Formats
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Dataset Split

Train Set 93%
255Images
Valid Set 4%
10Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 460x460
Modify Classes: 46 remapped, 1 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.25px

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