Dataset Versions

v2

2024-09-15 10:03am

Generated on Sep 15, 2024

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 93%
975Images
Valid Set 3%
29Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 5
Rotation: Between -19° and +19°
Saturation: Between -66% and +66%
Brightness: Between -66% and +66%
Blur: Up to 2.6px

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