https://github.com/danan525/multimodal-object-detection-using-artificial-intelligence
This is a project about using multi-modal to do object detection in car cabin
https://github.com/danan525/multimodal-object-detection-using-artificial-intelligence
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (3.0%) to scientific vocabulary
Repository
This is a project about using multi-modal to do object detection in car cabin
Basic Info
- Host: GitHub
- Owner: Danan525
- Language: Python
- Default Branch: main
- Size: 48.9 MB
Statistics
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Multimodal-Object-Detection-Using-Artificial-Intelligence
This is a project about using multi-modal which merges the RGB and IR to do object detection in car cabin.
Cause the project is running on GPU, the content will be updated on the website later.
The first model trained by yolov5l is updated and the result is obtained by setting 300 epoch and 16 batch-size, the result is shown in exp2.
The second model trained by yolov5l is updated and the result is obtained by setting 300 epoch and 4 batch-size, the result is shown in exp.
The final code used in this project is in "Project" folder.
Owner
- Login: Danan525
- Kind: user
- Repositories: 1
- Profile: https://github.com/Danan525
GitHub Events
Total
- Watch event: 3
- Push event: 21
- Create event: 2
Last Year
- Watch event: 3
- Push event: 21
- Create event: 2