Dataset Versions

v2

2022-09-23 1:00am

Generated on Sep 23, 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 92%
204Images
Valid Set 4%
8Images
Test Set 4%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 35 remapped, 4 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -12% and +12%
Exposure: Between -10% and +10%
Blur: Up to 0.25px

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