Dataset Versions

v3

2022-10-18 12:54pm

Generated on Oct 18, 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 87%
66Images
Valid Set 8%
6Images
Test Set 5%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 2 rows x 1 columns

Augmentations

Outputs per training example: 3
Grayscale: Apply to 1% of images
Hue: Between -100° and +100°
Brightness: Between -18% and +18%
Blur: Up to 5.5px
Noise: Up to 2% of pixels
Cutout: 1 boxes with 10% size each

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