Comments (2)
So i managed to find the models(https://conservancy.umn.edu/handle/11299/199818) but not having much luck getting it to identify animals in still pictures. Im testing out trail camera images of bobcats and it cant identify those at all
from camera-trap-classifier-publication-code.
Hi sanktanglia
Thanks for your feedback. The model trained on data from Snapshot Wisconsin unfortunately has not seen many Bobcats (roughly 300) and thus may not reliably find them when the model is applied on a different dataset. Regardless, there may be opportunities for you to exploit the model and/or machine learning:
- Reliably find true negatives (e.g. you are interested in Bobcats, thus filter out Deer images or images without any animals).
- Possibly investigate the model scores to find a threshold that works for you. Example: The model classifies image as Deer with 70% probability but has 20% probability on Bobcat. In that case manually investigate the image (confidence thresholding approach).
- Re-train / Fine-tune a model (see this repository with newer models) on data from your dataset--it is a common issue that models don't perform well on new / unseen datasets without some re-training (transfer-learning).
- If you are only interested in a specific target class you may be able to train a model that identifies this class versus the rest, that might be more efficient to train and apply.
- There are other models out there that may help your case. For example: Tabak et al.
All the best!
from camera-trap-classifier-publication-code.
Related Issues (1)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from camera-trap-classifier-publication-code.