YOLO Dataset Annotation for Road Elements
Budget: ₹1,500 – ₹12,500 INR
I'm embarking on a project that requires precise and manual labeling of a large dataset on CVAT.
- Purpose: The primary goal is to utilize an annotated dataset for YOLO object detection in a road navigation system. Hence, label accuracy is crucial.
- Task Volume: It involves a substantial number of around 5000 images that need expert annotation.
- Entities: These images include various entities to be labelled, particularly sign boards, and other miscellaneous objects found on roads.
Skills & Experience:
To ensure the success of this project, a freelancer with the following experience is ideal:
- Extensive experience with CVAT.
- Familiarity with YOLO object detection semantics.
- Previous involvement in large-scale image annotation projects.
- Background in projects related to traffic or road navigation would be a bonus.
This project will be pivotal in creating an efficient object detection mechanism. Your keen eye for detail and understanding of the intricacies of road elements would be highly appreciated.
- Purpose: The primary goal is to utilize an annotated dataset for YOLO object detection in a road navigation system. Hence, label accuracy is crucial.
- Task Volume: It involves a substantial number of around 5000 images that need expert annotation.
- Entities: These images include various entities to be labelled, particularly sign boards, and other miscellaneous objects found on roads.
Skills & Experience:
To ensure the success of this project, a freelancer with the following experience is ideal:
- Extensive experience with CVAT.
- Familiarity with YOLO object detection semantics.
- Previous involvement in large-scale image annotation projects.
- Background in projects related to traffic or road navigation would be a bonus.
This project will be pivotal in creating an efficient object detection mechanism. Your keen eye for detail and understanding of the intricacies of road elements would be highly appreciated.