Dataset Versions

v4

2023-03-17 3:42pm

Generated on Mar 17, 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 93%
21789Images
Valid Set 4%
830Images
Test Set 3%
786Images

Preprocessing

Isolate Objects: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 37% Maximum Zoom
Grayscale: Apply to 25% of images
Brightness: Between -30% and +30%
Bounding Box: Blur: Up to 5.75px
Bounding Box: Noise: Up to 5% of pixels

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