Dataset Versions

v1

2022-08-27 1:10pm

Generated on Aug 27, 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.
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Dataset Split

Train Set 92%
15720Images
Valid Set %
0Images
Test Set 8%
1308Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Exposure: Between -25% and +25%
Blur: Up to 7px
Noise: Up to 5% of pixels

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