Dataset Versions

v6

2023-08-06 10:29pm

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 89%
198Images
Valid Set 8%
18Images
Test Set 3%
6Images

Preprocessing

Static Crop: 15-87% Horizontal Region, 14-87% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Hue: Between -180° and +180°
Brightness: Between -30% and +0%
Exposure: Between -29% and +29%
Blur: Up to 1px
Noise: Up to 15% of pixels

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