MLPR

MLPR

Object Detection

MLPR Image Dataset

v11

2023-12-15 3:20am

Generated on Dec 14, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 88%
1179Images
Valid Set 8%
111Images
Test Set 4%
56Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±31° Horizontal, ±31° Vertical
Brightness: Between -16% and +16%
Exposure: Between -32% and +32%
Blur: Up to 0.25px
Noise: Up to 3% of pixels