CameraTrapDetectoR General Model

This dataset contains the model weights, architecture, and class label dictionary for CameraTrapDetectoR general model versions 1 and 2. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone. This model identifies and counts mammals and birds in camera trap images, and includes categories for humans, vehicles, and a background class. Additional information about the R package and the training data can be found in the package's Github repository: https://github.com/CameraTrapDetectoR/CameraTrapDetectoR

List of Resources:

• general_v1.zip is a folder containing the model architecture, model weights, and class label dictionary used to deploy the general model version 1 in CameraTrapDetectoR

• general_v2.zip is a folder containing the model architecture, model weights, and class label dictionary used to deploy the general model version 2 in CameraTrapDetectoR

• general_v2_cl.zip is a folder containing the all information to deploy the general v2 model via Python script from the command line. Full instructions for set up and use may be found at https://github.com/CameraTrapDetectoR/model_training