Dataset Versions

v11

2023-10-22 10:35am

Generated on Oct 22, 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.
Other Formats
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Dataset Split

Train Set 32%
51Images
Valid Set 53%
84Images
Test Set 15%
24Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Rotation: Between -5° and +5°
Grayscale: Apply to 100% of images
Saturation: Between -38% and +38%
Exposure: Between -11% and +11%
Noise: Up to 1% of pixels
Cutout: 5 boxes with 10% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 13% Maximum Zoom
Bounding Box: Brightness: Between -9% and +9%

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