Correction: Ocholla et al. Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques. Remote Sens. 2024, 16, 2929

The authors would like to make the following corrections to their published paper [1].

We found that an error was made in the text of the Introduction section, paragraph six, where we stated “[…] However, the experiment was conducted in homogeneous herds where animals were 2 to 3 m apart. This method may not be applicable in scenarios where animals are clustered in herds”. While the animal herds were homogeneous in terms of species, the spacing between the animals was not consistently 2 to 3 m apart. Some images featured animal herds with animals that were in close proximity of each other.

Therefore, the following correction has been made to the Introduction section, paragraph six: “The experiment was conducted in homogeneous herds for dense, medium, and sparse animal herds”.

In the Discussion section, Section 4.2, paragraph three, the values of the HerdNet model were wrongly cited from the validation results rather than the final test values of the cited study, as follows: “Compared to a similar study conducted in Chad [21], the YOLOv5m model used in our study outperformed the HerdNet model, which attained a Precision and total count error of 75.4% and −14.6%, respectively”.

The following correction has been made to the Discussion section, Section 4.2, paragraph three: “Compared to a similar study conducted in Chad [21], the YOLOv5m model used in our study outperformed the HerdNet model, which attained a Precision and total count error of 77.5% and −9.4%, respectively”.

The authors state that the scientific conclusions are unaffected. These corrections were approved by the Academic Editor. The original publication has also been updated.