Testing of plant detection
Summary
The purpose of this digital test is to evaluate a model's ability to accurately recognize different types of plants.
S00039
Version: 1.10
- arable farming
- horticulture
- tree crops
- viticulture
- test design
- test setup
- test execution
- collection of test data
- performance evaluation
- software
- Location: remote
- Offered by: JR
Description
Our digital test helps you evaluate how well your model identifies different types of plants. Your model can be delivered in a docker container or the inference results are collected in real time from your device in the field. We focus on key performance metrics like accuracy, Intersection over Union (IoU), and F1 score to give you a clear picture of your model's effectiveness. Crucial to this process is the ground truth data, which can be either specially prepared for this test or sourced from an existing benchmark dataset.