Training Data for AI in Forestry for Tree Detection Deep Learning in Forest
Deforestation and erosion of trees in woodland is one the biggest concern among the researchers to control the global warming and ensure the biodiversity on the earth. But thanks to AI in forest, keeping an eye on forest and trees is becoming easier and effective. Illegal trees cutting or fire in the forest, all such activities can be detected with AI-enabled systems. Annotating such actions in the images helps to train the AI model for accurate detection in forest management.
Image Annotation Types for AI in Forest Management
Annotation for Deforestation
Detecting the Damaged Trees
Annotation to Detect Forest Fires
Annotation for Tree Identification
Vehicle Movement Detection in Forest
LIDAR Annotation in Forest Inventory
To make AI in forestry possible through tree detection deep learning, Cogito provides data annotation services to annotate the trees and other types of unusual objects in the forest. Detecting the fire at forest, identifying the tress, spotting deforestation and other unfavorable activities like vehicle movement and human in actions is possible with machine learning training data. Cogito provides satellite images datasets and annotated images for drones and Ariel view AI model training.