DeerWatch Computer Vision Project
Project Overview Creating a model to detect deer when driving down the road
Classes There are 3 categories used to create the class for each photo. Example: buck_front_standing
- Deer type - buck, doe, fawn; help model in case it improves results to distinguish between having antlers or not, having spots or not, etc
- View of deer - front, rear, side; not only to help the model identify a deer that looks different from different angles (2 legs from the front) but also in case long term there is usefulness in identifying that a deer is running towards the road or away from it
- Activity - standing, walking, running, eating; again, both to help the model but also for "threat" assessment as you drive and need to understand the current state of the deer
Status/Timeline Initial images loaded (c. 60) to experiment with. Hope to have a larger dataset by 2023
Contribution and Labeling Guidelines Any and all are welcome! We especially need deer in settings around roads.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
deerwatch_dataset,
title = { DeerWatch Dataset },
type = { Open Source Dataset },
author = { Automatez },
howpublished = { \url{ https://universe.roboflow.com/automatez/deerwatch } },
url = { https://universe.roboflow.com/automatez/deerwatch },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-07-27 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the DeerWatch project in your project.
Source
Last Updated
a year ago
Project Type
Object Detection
Subject
deer
Views: 1736
Downloads: 72
