#8 Automatic Detection Open Source (Roboflow/GoogleColab/QGIS) скачать в хорошем качестве

#8 Automatic Detection Open Source (Roboflow/GoogleColab/QGIS)

Training a deep learning model and using it to detect new individuals on a map is not an easy task. ArcGis facilitates this by offering a very intuitive menu to prepare the training dataset and fit a battery of deep learning models (Step 7). However, this pipeline requires having a licence of ArcGis Pro. To expand the potential of this methodology we present an open-access alternative to this pipeline. Therefore, the aim of this step is to provide an alternative open-access way to do the step 7, prepare training data (with Roboflow), train a deep learning model (Python) and use the trained model to detect individuals on a georeferenced picture (QGIS-DeepNess). This workflow is a bit more slow but it is fully open access and allows the usage of up-to-date deep learning models as well as to adjust manually the model hyperparameters. The used software includes: Roboflow (https://roboflow.com/) / Python (Google Colab) / QGIS (DeepNess Plugin - https://plugins.qgis.org/plugins/deep.... In this Youtube tutorials you will find a Google Colab notebook to train an object detection model using labelled data from Roboflow:    • Roboflow Dataset How to use for Yolo| Yolo...  ,    • How to Train Ultralytics YOLO11 Model on C...  ,    • Step 8: Integrating Roboflow Dataset into ...  . This is the link to a Google Colab Notebook used for this purpose using YOLO v 11: https://colab.research.google.com/dri... All writen protocols for each step can be found here: [INSERT LINK TO GITHUB REPOSITORY HERE]. Background music: El gall dindi - Carlinhos Pitera i Bernat Romaní (https://bernatromani.com/2006/12/01/g...)