Computer vision
Introduction
Computer vision analysis inputs
Target column format for Object detection
Target column format for Image classification
Image path column
Supported images formats
Your first Computer vision model
Install the required packages
Create the analysis
Review the design of your model (optional)
Monitor the performance of your model during training
Model architectures & training parameters
Pre-trained models available
Training parameters
Evaluation Metrics
Data augmentation
Data augmentations settings
N.b. Object detection
GPU support
Selection of GPU
Using multi-GPU training
Requirements
Performance assessment
Object detection
Confusion matrix and image feed
Metrics
Precision-Recall curve
What if : Scoring new images on the go
Image classification
Confusion matrix and image feed
Metrics
Calibration curve, ROC curve & density charts
What if : Scoring new images on the go
Endpoint APIs
Input format