Dataset Versions

v2

2024-02-08 1:19pm

Generated on Feb 8, 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 88%
183Images
Valid Set 8%
16Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Grayscale: Apply to 19% of images
Brightness: Between -21% and +21%
Exposure: Between -6% and +6%
Blur: Up to 1.4px
Noise: Up to 0.34% of pixels

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