Dataset Versions

v3

2024-09-17 4:21am

Generated on Sep 17, 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.
Other Formats
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Dataset Split

Train Set 98%
693Images
Valid Set 1%
9Images
Test Set 1%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 2% of images
Brightness: Between -9% and +9%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 0.34% of pixels

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