Dataset Versions

v1

2022-10-31 10:16pm

Generated on Oct 31, 2022

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%
324Images
Valid Set 1%
3Images
Test Set 6%
20Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Exposure: Between -23% and +23%
Blur: Up to 1.25px
Noise: Up to 4% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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