Dataset Versions

v10

2024-01-25 1:57pm

Generated on Jan 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.
Other Formats
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Dataset Split

Train Set 89%
435Images
Valid Set 8%
38Images
Test Set 3%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 5% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%

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