Dataset Versions

v18

2024-08-15 6:04pm

Generated on Aug 15, 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
Choose another format.

Dataset Split

Train Set 87%
2676Images
Valid Set 9%
267Images
Test Set 5%
145Images

Preprocessing

Isolate Objects: Applied
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%

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