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CameraTrapDetectoR Pig Model
model
posted on 2024-02-20, 20:23 authored by Amira BurnsAmira Burns, Ryan Miller, Hailey Wilmer, Michael Tabak, Daniel Falbel, Tess Hamzeh, Ryan K. Brook, John A. Goolsby, Lisa D. Zoromski, Raoul Boughton, Nathan Snow, Kurt VerCauterenThis 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: https://github.com/CameraTrapDetectoR/CameraTrapDetectoR
List of Resources:
- 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
Funding
USDA-APHIS: Center for Epidemiology and Animal Health
History
Data contact name
Burns, AmiraData contact email
Amira.Burns@usda.govPublisher
Ag Data CommonsIntended use
The dataset supports the R package CameraTrapDetectoR with model architecture, model weights, and class label dictionary for the pig-only model version 1, launched January 2022.Temporal Extent Start Date
2022-01-01Frequency
- notPlanned
Theme
- Not specified
Geographic Coverage
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North AmericaISO Topic Category
- biota
- environment
- geoscientificInformation
- health
National Agricultural Library Thesaurus terms
data collection; models; cameras; species identification; ecology; animals; automation; taxonomy; wildlife management; environmental monitoring; computer vision; swine; prediction; user interfaceOMB Bureau Code
- 005:32 - Animal and Plant Health Inspection Service
OMB Program Code
- 005:037 - Research and Education
ARS National Program Number
- 215
Pending citation
- No
Public Access Level
- Public