Yolov7 using WLADO v2
Budget: $33 – $34 USD
Object Detection using Yolov7 with WLADO v2
The purpose of this project is to utilize Yolov7 with WLADO v2 for object detection. The ideal candidate should have experience in object detection techniques and be familiar with the Yolov7 and WLADO v2 frameworks.
Skills and experience required:
- Proficiency in Python programming language
- Strong understanding of object detection algorithms and techniques
- Familiarity with Yolov7 and WLADO v2 frameworks
- Experience with data annotation for object detection (assistance required)
- Ability to work with large datasets and handle complex image recognition tasks
If you have the necessary skills and experience, and are interested in working on this project, please submit your proposal.
The purpose of this project is to utilize Yolov7 with WLADO v2 for object detection. The ideal candidate should have experience in object detection techniques and be familiar with the Yolov7 and WLADO v2 frameworks.
Skills and experience required:
- Proficiency in Python programming language
- Strong understanding of object detection algorithms and techniques
- Familiarity with Yolov7 and WLADO v2 frameworks
- Experience with data annotation for object detection (assistance required)
- Ability to work with large datasets and handle complex image recognition tasks
If you have the necessary skills and experience, and are interested in working on this project, please submit your proposal.