TRIMBLE: Combining Deep Learning with Object-based Image Analysis: A win-win situation

Weight loss could result from a number of reasons, water loss, muscle degradation, and you need to be certain that you're gaining muscles and losing body fats. During the challenge you're going to be educated in how to eat and exercise to make the most of your weight loss and you're going to be inspired to adhere to your plan. Weight loss is one thing which can greatly enhance the way that people feel about themselves which improves performance. When others notice your successful weight reduction, it provides you an excellent sense of achievement.

Many heeded the challenge to create fantastic changes in their way of life and be in a position to live much healthier and fitter body throughout the course of their life. Before you set out your weight-loss challenge, you must understand three important keys. Our Weight Loss Challenge makes it possible to get fit, shed weight and adopt wholesome eating and exercise habits. It delivers the perfect combination of the two in a positive, energetic environment that has been proven to get you the results you want. The greatest weight-loss challenge operates by motivating people to shed weight through competition.

In case the Challenge included group fitness programs make sure that they are accessible for all exercise levels. The next thing which you are able to do is to join a weight reduction challenge. A successful weight reduction challenge is one which is intended to support your aims and that empowers you to create adjustments to your way of life and habits.

17 Jun 2020

TRIMBLE: Combining Deep Learning with Object-based Image Analysis: A win-win situation

Trimble eCognition software is used by GIS professionals, remote sensing experts, and data scientists to automate geospatial data analytics. Users can design feature extraction solutions to transform geo-data into geo-information. The possibilities are endless. In the newest version, the software offers access to multiple feature extraction approaches (i.e. knowledge-based classification, supervised classification, template matching and deep learning) so that user can combine these to achieve optimum results. In the presentation, participants will get an overview about the highlights in eCognition as well as the possibilities to combine object-based image analysis with deep learning.