#### Scoring Functions
There is only one evaluation metric for the challenge: **Average Euclidean Distance**.
The mean Euclidean distance is defined as the average Euclidean distance between the predictions and the ground truths. For each pair of predicted and true coordinates (x, y), the Euclidean distance is computed as follows:
`
distance = math.sqrt((x_true - x_pred)**2 + (y_true - y_pred)**2)
`