IEEE Dataset V3 Dataset

v3

2023-03-22 6:18pm

Generated on Mar 22, 2023

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 87%
10557Images
Valid Set 4%
473Images
Test Set 9%
1052Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Modify Classes: 20 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -21° and +21°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 7% of pixels