I will annotate solar panel images for ai object detection

I help AI/ML teams and researchers prepare high-quality training data for solar panel detection and computer vision projects.

I annotate solar panel images aerial, satellite, or rooftop photos using bounding boxes or polygon/segmentation labels in Roboflow, exportable in YOLO, COCO, or Pascal VOC format for your model.

This isn't generic data labeling for me I've done hands-on annotation work on a real solar panel detection research project as part of my Data Science studies, so I understand panel layouts, shadow/glare issues in aerial shots, and what actually makes labels useful for training accuracy, not just "drawn."

I follow whatever annotation guidelines you give me, and I'm happy to do a small sample batch first so you can check quality before committing to a full dataset.

Send me your image count, label classes, and preferred export format, and I'll confirm turnaround and pricing