unq2

fondo transport

Instance Segmentation

fondo transport Image Dataset

v7

2024-04-22 12:09pm

Generated on Apr 22, 2024

Dataset Split

Train Set 75%
60Images
Valid Set 13%
10Images
Test Set 13%
10Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 3.5px
unq
labeled-cars-trucks-buses
267 images
peson-car
1000 images
Bus-Bike-Car-Pedestrian-Truck
7832 images
Pedestrian-Bike-Car-Bus-Truck
7832 images
cars-person-motor
2547 images