Dataset Versions

v1

Muni-LEIMS5

Generated on Mar 23, 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 88%
2088Images
Valid Set 8%
199Images
Test Set 4%
99Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90Β° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15Β° and +15Β°
Grayscale: Apply to 25% of images
Hue: Between -25Β° and +25Β°
Brightness: Between -36% and +36%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%