Spectral image interpretation - make sense of your spectral images
Why should you join?
You want to interpret your own spectral images without programming
You want to build classification or quality estimation solutions based on spectral imaging
You want to deploy spectral imaging technology in your production process
Applied researchers in phenotyping, food quality, recycling...
Distributors and resellers of spectral imaging systems
On-line via Zoom
Two days, each with two 1.5h modules
Hands-on on different practical data sets
Additional one-on-one session with perClass application expert on your own data
Module 1: Classification
Basics of spectral imaging, Classification use-case. Active learning to improve labeling. Classification performance and fine-tuning.
Module 2: Object segmentation
Object segmentation and classification. Foreign object detection with unknown objects. Per-object performance estimation.
Module 3: Regression
Regression use-case. Quantification from spectral images. Data cleaning, outlier detection and removal.
Module 4: Visualization and data export
Visualization of spectral indices. Definition of custom spectral indices. Export of data and models. Model deployment using perClass Mira Runtime and perClass Batch processing.
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