Project Tylong

Tylong

Object Detection

Tylong Image Dataset

v3

2024-05-27 9:40pm

Generated on May 27, 2024

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%
18759Images
Valid Set 8%
1787Images
Test Set 4%
892Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -18° and +18°
Shear: ±14° Horizontal, ±14° Vertical
Saturation: Between -19% and +19%
Brightness: Between -32% and +32%
Blur: Up to 1px
Noise: Up to 0.58% of pixels
Bounding Box: Rotation: Between -15° and +15°
number-plates-wbOA
8075 images
LPR
licenseplate
996 images
plate-detection-license-plate-characters-license-plate
2487 images