Published November 24, 2022
| Version v1.0
Software
Open
EDM-Research/DIMO_ObjectDetection: v1.0
Creators
-
1.
Hasselt University
- 2. Digital Future Lab
-
3.
Flanders Make (Belgium)
Description
Object detection for the DIMO dataset. Uses the Mask-RCNN model. This is the official implementation of Analysis of Training Object Detection Models with Synthetic Data, published in BMVC: British Machine Vision Conference, 2022:
Vanherle, B., Moonen, S., Van Reeth, F., & Michiels, N. (2022). Analysis of Training Object Detection Models with Synthetic Data. 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022. Retrieved from https://bmvc2022.mpi-inf.mpg.de/0833.pdf
Files
EDM-Research/DIMO_ObjectDetection-v1.0.zip
Files
(115.4 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:538ca231053ff28c38e8000079a266ca
|
115.4 kB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/EDM-Research/DIMO_ObjectDetection/tree/v1.0 (URL)
- Conference paper: https://bmvc2022.mpi-inf.mpg.de/833/ (URL)
Funding
- Flanders Make (Belgium)
- PILS SBO: Product Inspection with Little Supervision
- Hasselt University
- BOF Special Research Fund
Software
- Repository URL
- https://github.com/EDM-Research/DIMO_ObjectDetection
- Programming language
- Python