Glad to announce the 2nd tutorial on Firetail 10 – ‘working with acceleration annotation’ featuring practical workflows for (1) acceleration annotation with FireSOM (2) ML model transfer across tags (3) overlay (video) annotation ground truth
Free trial: www.firetail.de
We are proud to present Firetail 9!
For incredibly fast visualization and annotation of Movebank data, GPS tracks, acceleration sensors, IMU orientation data and much more. Perfect for movement ecology, biologging and conservation projects.
Download from https://www.firetail.de
What’s new? – selected features
1. Version 9 features many performance and stability improvements boosting your daily routines
2. You can now import external annotation data and show it side by side with Firetail annotations or automated FireSOM predictions
combining external annotations with Firetail 9
3. Overlay your data with shape files, show park boundaries, adminstrative districts and more
shape overlays
4. FireSOM included – machine learning for rapid annotation at your fingertips
Request your personal trial license today or download the free edition!
— The Firetail Team
The latest Movebank newsletter is out. A perfect overview for all that would like to get an insight into the current study landscape regarding animal observation, behavioral analysis and conservation.
ICARUS and Firetail news are included, as well as recent collaborations, high-ranking publications and analyses. Enjoy reading!
We are glad to present a new part of our tutorial series on Firetail. This time we talk about “FireSOM: AI assisted annotation”
The most recent Firetail Release 7 includes a AI-based segmentation of acceleration data that allows for the annotation of complete datasets in a few steps. It is our mission to offer a simple and intuitive solution. Especially when the challenges are difficult. The new AI feature has sparked impressive feedback in the community of researchers and species conservationists. Questions about how and why arose. Complex issues are best conveyed with videos. Therefore, the decision to make a tutorial was a no-brainer.
Working with annotations is one of the core features of Firetail. The reason is simple: Annotation of data from tagged animals is essential for conservation and for behavioral analysis. This is particularly challenging given huge amounts of data and long-term experiments. Manual annotation is time-consuming and expensive and near impossible to implement in practice.
In this video we showcase “FireSOM: AI assisted annotation”. A machine learning tool assisting researchers to rapidly annotate massive datasets.
Don’t be scared by machine learning terms like feature selection and self-organizing maps. Embrace them!
We are happy to present Firetail Release 7!
This release includes a AI-based segmentation of acceleration data that allows for the annotation of complete datasets in a few steps. Of course, fully integrated and intuitive to use.
The analysis of magnetometer data (IMU sensors from e-obs) has grown more powerful, thanks to an improved calibration and further visualisation options.
For your routine work with Movebank, we included incremental data updates and time interval access for full license users.
The package is completed by the current manual and the popular Free Edition offering analyses to smaller projects free of costs.
We wish you a lot of success for all your upcoming challenges!