Dataset Versions

v4

old dataset

Generated on Jul 13, 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 98%
8790Images
Valid Set 2%
215Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -5° and +5°
Saturation: Between -8% and +8%
Exposure: Between -15% and +15%
Noise: Up to 0.1% of pixels

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