Overview: Seeking a detail-oriented freelancer to perform high-quality data annotation on CVAT. You will be responsible for labeling images and video sequences to train advanced AI models (YOLO v7).
Key Tasks:
Bounding Boxes: Precise 2D/3D labeling for object detection.
Polygons/Masks: Accurate instance segmentation for complex shapes.
Keypoints/Polyline: Annotating specific structural points or lanes.
Video Tracking: Maintaining object IDs across consecutive frames.
Requirements:
Proven experience using the CVAT platform.
High attention to detail (pixel-perfect accuracy).
Ability to follow strict labeling guidelines.
Basic understanding of data formats (COCO, Pascal VOC, YOLO).
To Apply: Please share a brief summary of your CVAT experience and your daily capacity.
The selected candidate will support in initial testing of engine on fixed price, than will continue with actual work.
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