Dataset Versions

v12

2022-03-22 11:11amV11

Generated on Mar 22, 2022

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 97%
1776Images
Valid Set 3%
60Images
Test Set %
0Images

Preprocessing

Static Crop: 5-95% Horizontal Region, 5-95% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Grayscale: Apply to 17% of images
Hue: Between -5° and +5°
Blur: Up to 2px
Cutout: 2 boxes with 6% size each

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