Computer Vision & AnalyticsCompleted
Retailer Brand Images Analysis
Jan 2024 - Jun 2024
Developing an end-to-end ML pipeline for analyzing retailer brand images using YOLO object detection (Roboflow) and visualizing results in Tableau.
About This Project
Developed an end-to-end machine learning pipeline for analyzing retailer brand images. Utilizing Roboflow for automated object detection with a YOLO model. Results are visualized through interactive Tableau dashboards, enabling detailed analytics for strategic retail marketing decisions. The pipeline processes large volumes of retail imagery to identify brand presence, product placement, and competitor analysis.
Technologies Used
CNNPipelineSageMakerRoboFlowAWSYOLOTableau
Key Highlights
- Application of YOLO for real-time object detection in retail environments
- End-to-end ML pipeline development with automated data processing
- Data visualization using Tableau dashboards for business intelligence
- Scalable solution for analyzing thousands of retail brand images