Dataset Versions

v33

2024-11-22 1:25pm

Generated on Nov 22, 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.
Other Formats
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Dataset Split

Train Set 80%
210Images
Valid Set %
0Images
Test Set 20%
54Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -55% and +55%
Brightness: Between -12% and +12%
Exposure: Between -10% and +10%
Blur: Up to 0.2px
Noise: Up to 0.18% of pixels
Bounding Box: Flip: Vertical
Bounding Box: Brightness: Between -13% and +13%
Bounding Box: Exposure: Between -12% and +12%
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 0.1% of pixels

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