Dataset Versions

v3

new_dataset

Generated on Oct 25, 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 94%
16584Images
Valid Set 4%
689Images
Test Set 2%
381Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.4px
Noise: Up to 0.25% of pixels

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