Dataset Versions

v5

train69 - valid84 - test42 without resize

Generated on Jun 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.
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Dataset Split

Train Set 96%
2898Images
Valid Set 3%
84Images
Test Set 1%
42Images

Preprocessing

Isolate Objects: Applied
Grayscale: Applied

Augmentations

Outputs per training example: 3
Blur: Up to 0.6px
Noise: Up to 0.91% of pixels