Dataset Versions

v2

2024-10-10 6:05am

Generated on Oct 10, 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%
1371Images
Valid Set 8%
119Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±13° Horizontal, ±13° Vertical
Brightness: Between -43% and +43%
Exposure: Between -11% and +11%
Blur: Up to 1px
Noise: Up to 1.33% of pixels
Cutout: 7 boxes with 10% size each