Dataset Versions

v4

2022-12-30 12:56pm

Generated on Dec 30, 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.
Other Formats
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Dataset Split

Train Set 88%
11976Images
Valid Set 8%
1135Images
Test Set 4%
573Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels

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