CameraTrapDetectoR Pig Model

<p>This dataset contains the model weights, architecture, and class label dictionary for CameraTrapDetectoR pig-only model version 1. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone. This model identifies and counts wild pigs in camera trap images. It also includes categories for non-pig detections (animal, human, or vehicle), and a background class. Additional information about the R package and the training data can be found in the package's Github repository: <a href="https://github.com/CameraTrapDetectoR/CameraTrapDetectoR">https://github.com/CameraTrapDetectoR/CameraTrapDetectoR</a></p> <p>List of Resources:</p> <ul> <li>pig_v1.zip is a folder containing the model architecture, model weights, and class label dictionary used to deploy the pig-only model version 1 in CameraTrapDetectoR</li> </ul>