cankocagil/SwinDetr
Integration of Swin Transformer to DETR for Robust Object Detection (DEMO)
This helps computer vision engineers and researchers improve how computers find and identify objects within images. It takes raw image data as input and outputs precise bounding boxes and labels for every object detected. This is ideal for those working on advanced object detection systems.
No commits in the last 6 months.
Use this if you need a robust and modern approach to accurately detect multiple objects in images.
Not ideal if you are looking for a simple, off-the-shelf object detection application for end-users, or if you don't have experience with deep learning frameworks.
Stars
30
Forks
5
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Jul 05, 2021
Commits (30d)
0
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