Furniture identifier
Image
ClassificationOne of my primary areas of focus has been furniture and household object annotation. This involved classifying and drawing precise bounding boxes around items across thousands of images, handling edge cases like partial occlusions, overlapping objects, and inconsistent lighting conditions. The work required distinguishing between visually similar categories such as sectionals versus sofas, accent chairs versus dining chairs, and console tables versus credenzas while maintaining strict labeling consistency throughout. I have also worked on consumer product image classification tasks, applying semantic labels and polygon masks across large batches of product images to support e-commerce and retail AI training pipelines. These projects demanded high throughput without sacrificing accuracy, so I developed a pre-submission review process to catch inconsistencies before they reached the client. Beyond dedicated annotation work, my background in digital art and visual production over five years has sharpened my ability to assess image quality, recognize object boundaries, and categorize visual content with precision. This experience directly informs how I approach annotation tasks, particularly in categories where fine visual distinctions matter most.