teeth

L-train

Object Detection

L-train Image Dataset

v1

2023-12-18 11:15am

Generated on Dec 18, 2023

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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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 100%
936Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Hue: Between -7° and +7°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 4% of pixels
Cutout: 19 boxes with 2% size each
L-class
40 images
mixed-train
984 images
mixed-test
168 images
T-train
272 images
T-class
32 images