Comments (3)
Hi, thank you for your comment.
Images in the ETIS dataset are more high resolution than other datasets, including training dataset.
I think that's the reason why it shows lower performance with the small batch size.
from uacanet.
Could you please tell me how to get the ETIS dataset
from uacanet.
See #12
from uacanet.
Related Issues (16)
- About SFA implementation HOT 3
- Clarification on pretrained weights HOT 1
- Could you please tell me how to get the CVC-300,CVC-ColonDB,ETIS dataset HOT 1
- A small question in Train.py
- About checkpoint saved HOT 1
- Why is my eval result 0 except for Sm, meanEm, mae, maxEm? HOT 2
- 关于 layers.py 中的一段代码
- The evaluation result is not good. HOT 11
- About this Baseline model HOT 4
- about "break" in train.py HOT 1
- about distributed training HOT 3
- Some questions about the ‘bce_iou_loss’ function HOT 2
- result problem HOT 1
- Some questions about Axial-attention HOT 7
- Multiple classes training 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 uacanet.