Dataset Versions

v7

10-16-17-18 october augmented sets 2023-10-27 12-54pm

Generated on Oct 27, 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 87%
1998Images
Valid Set 8%
190Images
Test Set 4%
98Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Saturation: Between -60% and +60%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.75px
Mosaic: Applied