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
- Family Model V1zip
This folder contains the model architecture, model weights, and class label...
MD5:Explore Data294.99 MB
Field | Value |
---|---|
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 |