Comments (4)
lrzpellegrini
commented on May 25, 2024
Hi Zhou, that is intended. The test dataset contains no labels. The only annotations included in the test set are the bounding boxes of the main objects. Those boxes are solely used to generate the benchmark for the classification track.
from clvision-challenge-2022.
zhoujuncc1
commented on May 25, 2024
Hi Lorenzo,
In this case, for detection track, we will only know the score when we submit to the portal. Is it correct?
Thanks.
from clvision-challenge-2022.
lrzpellegrini
commented on May 25, 2024
Yes, that's correct. This is true for all tracks!
from clvision-challenge-2022.
zhoujuncc1
commented on May 25, 2024
Thanks for the clarification.
from clvision-challenge-2022.
Related Issues (20)
- where is the examples.tvdetection.transforms
- Different classes in train/test experiences
- training set of object detection containing bboxes of 0 area HOT 4
- the challenge dataset download failed.
- What's this repo actually for? HOT 1
- Why track2 demo results AP seems strange? HOT 4
- mandatory metric only generate output of 1 json file for last experience HOT 1
- Track2 Submission Problem: AttributeError: 'list' object has no attribute 'items' HOT 2
- can you provide a result file JSON format? HOT 3
- can you release the metrics of task1-task5 in leadboard? HOT 2
- #track 2: can you release the upper-bound performance of task1-task5? The test set contains 277 categories, while the training set of task1 only has 159 categories, then the upper-bound of task1 is? HOT 2
- #track 2: 'Solutions can exploit a replay buffer containing data coming from up to 3500 training instances.' For example, in task1, can we randomly sample 3500 images from the full training set (ego_objects_challenge_train.json)? HOT 2
- Track3 baseline doesn't work correctly HOT 1
- Track1: Could you release the upper-bound performance(average mAP) during each experience? HOT 3
- Cannot iterate all data streams in one epoch. HOT 1
- Can we use multiple GPUs in training ? or we must use one GPU (RTX 5000 with 16G GPU-memory)? HOT 3
- Can you provide the evaluation server (RTX 5000 with 16G GPU-memory)?
- Can we add augmentation transforms to the eval transformations? HOT 2
- If Using multiple accounts on CodaLab, but the overall number of submissions are less than 20, is ok?
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 clvision-challenge-2022.