FAU Smart Streetscapes

Raccoon Detector

Object Detection

Raccoon Detector Image Dataset

v14

YOLOv8TransferLearn

Generated on Mar 13, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 95%
17367Images
Valid Set 3%
520Images
Test Set 2%
315Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 7
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -8° and +8°
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Noise: Up to 0.1% of pixels