Dataset Versions

v15

2023-05-09 10:49pm

Generated on May 10, 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 70%
2982Images
Valid Set 20%
853Images
Test Set 10%
428Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 700x400
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%

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