John Edward Binay

FinalExam_EmergencyVehicleDetection

Object Detection

FinalExam_EmergencyVehicleDetection Image Dataset

v3

2022-04-19 7:07am

Generated on Apr 18, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 88%
1470Images
Valid Set 8%
139Images
Test Set 4%
71Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -59% and +59%
Brightness: Between -9% and +9%
Exposure: Between -4% and +4%
Noise: Up to 3% of pixels
Cutout: 5 boxes with 11% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -14% and +14%