The
GSA Image Recognition-AI program was developed for automatic recognition and classification of objects in image data. The program uses a neural network to classify the input data, which can be configured and trained to meet the given requirements.
Features:
- — Resizing of the input images using different resampling methods
- — Image format conversion function (JPG, PNG, TIF, GIF)
- — Adjustable image filters (gaussian filter, edge selection, colour manipulations, ...)
- — Access to analysis function via included web server (HTML, JSON)
- — Batch processing function for testing optimal filter and neural network settings
- — Trained neural networks can be saved and opened with all parameters (input neurons, output neurons, weights, filters and filter sequence, ...)
- — The program can be universally configured for all different applications
- — Result output with user specifications (delimiters, output fields, ...)
Image classification with AI
The neural network attempts to assign the unknown images to an image group. In addition to the determined group and associated similarity in percent is shown.