Comments (1)
Yes, we are aware of the imbalance in the dataset. In JAAD the imbalance is caused by the fact that we were mostly interested in pedestrians who cross. PIE contains continuous driving footage so it corresponds to a more naturalistic distribution of pedestrians, many of whom stand near the road waiting to cross.
Please see the code of the benchmark and the text of the paper for details on how to deal with the imbalance. In short, you can either subsample the larger class or keep the data and set the class weights inversely proportional to the samples in each class. Both methods work well in training, with the second option you get more training data.
from pedestrianactionbenchmark.
Related Issues (20)
- About the performance of PCPA on JAAD-beh HOT 6
- Request: pre-trained models HOT 1
- Having Troubles Training TwoStream ATGC HOT 2
- The updated evaluation results HOT 2
- some errors about docker HOT 3
- About the performance of PCPA HOT 2
- Which TensorFlow and python version did you use ? HOT 2
- Update configs in PCPA.yaml HOT 1
- about i3d HOT 4
- Troubles with testing the PCPA and SFRNN model HOT 5
- Results without DataGenerator HOT 5
- About the PIE dataset HOT 2
- Results Visualization HOT 2
- Testing issue with PCPA model HOT 2
- Can you please share the jaad_data.py and pie_data.py with us? HOT 2
- Pedestrians who are already crossing in the past observations HOT 5
- code of PedFormer HOT 1
- Questions about the benchmark HOT 2
- About PIE dataset split HOT 2
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 pedestrianactionbenchmark.