Computer Vision – Object Detection for Construction Blueprints (Training + API Output) - Contract to Hire

Hi,I’m looking for an experienced Computer Vision / Machine Learning engineer who has previously worked with construction blueprints, floor plans, or technical drawings. My goal is to automatically detect and extract detailed information from architectural drawings similar to:Example tasks include detection of:total square footageroom segmentationnumber of roomsdoors / windowskitchen & washroom locationsfurniture symbols (optional)electrical sockets / lighting symbolsannotations and dimension textRequired ExperiencePlease only apply if you have hands-on experience in at least one of the following:Computer Vision models trained on technical drawingsObject detection / instance segmentationFloor-plan / blueprint parsingOCR for annotation and dimension readingRoboflow, YOLOv8, Detectron, Mask-RCNN, SAM or similarCAD / PDF to vector conversion (bonus)DeliverablesA working baseline model (trained or fine-tuned)Detection of main objects (rooms, doors, kitchen, etc.)JSON output of detected elementsAbility to deploy via API or inference scriptI am open to:Training a new modelAdapting an existing open-source modelUsing your already-trained blueprint modelsPaid third-party APIs if appropriateNice to HaveBIM / IFC experienceArchitectural or engineering backgroundExperience with CubiCasa data, MLStructFP, etcPlease include in your proposalRelevant past CV / blueprint projectsWhich models or datasets you would useIf you’ve worked on construction drawings beforeEstimated time and bolthires rangeImportantThis is not a generic computer-vision task.Must have blueprint / floor-plan or engineering drawing experience. Thanks, Apply tot his job