Dataset Versions

v23

best-4_20-50-100-200-1000-wnull

Generated on Aug 6, 2023

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 100%
15546Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Grayscale: Apply to 50% of images
Hue: Between -90° and +90°
Saturation: Between -80% and +80%
Brightness: Between -30% and +30%
Exposure: Between -30% and +30%
Blur: Up to 2px
Noise: Up to 10% of pixels
Cutout: 15 boxes with 10% size each