DA-RetinaNet
Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites' (by fpv-iplab)
datumaro
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets. (by openvinotoolkit)
| DA-RetinaNet | datumaro | |
|---|---|---|
| 2 | 2 | |
| 59 | 486 | |
| - | 2.3% | |
| 6.1 | 9.4 | |
| 5 months ago | 2 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DA-RetinaNet
Posts with mentions or reviews of DA-RetinaNet.
We have used some of these posts to build our list of alternatives
and similar projects.
- Detectron2 Da-RetinaNet, Unsupervised Domain Adaptation for object detection
-
Detectron2 DA-RetinaNet
Link to the repo DA-RetinaNet: https://github.com/fpv-iplab/DA-RetinaNet
datumaro
Posts with mentions or reviews of datumaro.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Does anyone use CVAT for image annotation?
1) CVAT has internal inference for models. If you upload model there in the correct format, then it will be able to generate the detection box itself - https://onepanel.medium.com/train-an-object-detection-model-from-scratch-and-run-inference-on-it-in-10-minutes-16147ef656aa 2) Yes you can upload your prediction. But last time i did it - there were some problems and it took me several hours. It seems to me that you just need to load the markup in one of the formats that it supported by CVAT. If your format is not supported, then you will need to convert. For example like this - https://github.com/openvinotoolkit/datumaro
- Can I know what kind of dataset annotation for object detection is this?
What are some alternatives?
When comparing DA-RetinaNet and datumaro you can also consider the following projects:
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
cocojson - Utility scripts for COCO json annotation format