Dataset Versions

v5

2024-05-18 8:49pm

Generated on May 18, 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 92%
825Images
Valid Set 5%
48Images
Test Set 3%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Grayscale: Apply to 15% of images
Hue: Between -7° and +7°
Saturation: Between -8% and +8%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.2px
Noise: Up to 0.1% of pixels

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