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Data Extent

CameraTrapDetectoR Family Model

This dataset contains the model weights, architecture, and class label dictionary for CameraTrapDetectoR family model version 1. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone. This model identifies and counts animals from 33 North American taxonomic families in camera trap images, including 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

Resources in this dataset:

  • family_v1.zip is a folder containing the model architecture, model weights, and class label dictionary required to deploy the first generation family model in CameraTrapDetectoR
FieldValue
Tags
Modified
2023-05-09
Release Date
2023-05-09
Frequency
Not Planned
Identifier
c0e2890f-bdc2-43a9-bdd2-c11328147a39
Spatial / Geographical Coverage Area
POLYGON ((-161.89453125 70.470124401839, -161.89453125 57.474889007664, -144.66796875 60.549536115658, -103.53515625 10.758479494301, -55.01953125 46.747889039741, -87.36328125 69.009872311641))
Publisher
Ag Data Commons
Spatial / Geographical Coverage Location
North America
Temporal Coverage
January 1, 2022
License
Contact Name
Burns, Amira
Contact Email
Public Access Level
Public
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:32 - Animal and Plant Health Inspection Service