Dataset Versions

v1

2023-09-01 1:25pm

Generated on Sep 1, 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 88%
207Images
Valid Set 8%
19Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -38° and +38°
Shear: ±24° Horizontal, ±21° Vertical
Grayscale: Apply to 77% of images
Hue: Between -25° and +25°
Bounding Box: Exposure: Between -25% and +25%

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