Comments (4)
Hi,
We use a combination of public data and private test data to flag suspicious submissions.
However, the evaluation itself will be based on the private data, so that no bounding boxes or maps are available.
Note that the main award in the competition is the innovation award, which will be determined by double-blind reviews of submitted technical reports. Any attempt to cheat on the test set would result in disqualification.
from navsim.
Thanks for the clarification. Another thing I would like to ask is that the private test data contains only about 600 frames, if I'm right, which is around 5 minutes in total? Wo
uldn't that be too short for the final evaluation?
from navsim.
The evaluation is focused on meaningful and challenging frames without faulty annotations.
This way, the results on these frames are very indicative of the performance of a method.
The test set performance also generalizes well to the larger pubic test set.
from navsim.
Thanks!
from navsim.
Related Issues (14)
- About required environment variables HOT 2
- About the training set HOT 2
- Log Pickle Loading Fails HOT 8
- run_metric_caching.sh error on test split HOT 9
- Can we access the lidar2ego and lidar2global matrixs in private test set? HOT 1
- Inquiry About Future Plans for Handling Ego Past States in Model Inputs HOT 1
- About the negative origin.heading in convert_absolute_to_relative_se2_array HOT 1
- Aligning lidar points‘ coordinates across different frames? HOT 1
- Questions about Navtrain Dataset and warmup_test HOT 3
- Error while loading data for transfuser HOT 8
- The impact of caching to training HOT 1
- Question about driving direction compliance HOT 2
- Test error on private_test_e2e dataset HOT 3
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 navsim.