Dataset Versions

v2

2024-03-25 10:13am

Generated on Mar 25, 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.
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Dataset Split

Train Set 95%
1404Images
Valid Set 5%
72Images
Test Set %
0Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: left_light
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px

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