Bounding Box Annotation

Bounding box annotation involves drawing rectangular boxes around objects of interest in images or videos. It’s the most widely used technique in computer vision tasks for object detection and classification.


Use Cases by Industry


Medical & Healthcare

• Annotating organs in X-rays and MRI scans
• Identifying tumors or anomalies in pathology slides
• Labeling surgical instruments for robotic surgery

Automotive

• Detecting pedestrians, vehicles, and road signs in ADAS and autonomous driving
• Lane and traffic signal recognition

Retail & E-Commerce

• Detecting products on shelves for inventory management
• Object recognition in virtual try-on apps
• Automated checkout systems

Manufacturing

• Quality control through defect detection
• Monitoring assembly line object placement
• Robotics vision for automated handling

Agriculture

• Livestock detection and counting
• Crop health monitoring using drone imagery
• Pest identification in plants

Logistics & Warehousing

• Parcel tracking and labeling in warehouses
• Autonomous forklift and robot vision training
• Barcode detection and object sorting

Why Choose Wisepl?

  • 98%+ annotation accuracy
  • Scalable workforce
  • Dedicated project manager
  • Secure, NDA-bound team
  • Custom QA pipelines for each industry
  • Supported Tools & Formats

  • JSON, COCO, Pascal VOC, YOLO
  • Tools: Label Studio, CVAT, SuperAnnotate