Dataset Versions

v6

2024-12-15 8:46pm

Generated on Dec 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.
Other Formats
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Dataset Split

Train Set 90%
1820Images
Valid Set 6%
114Images
Test Set 5%
97Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 5
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Hue: Between -19° and +19°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 0.26% of pixels

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