Visual Grounding and Spatial Descriptions
The project focused on visual grounding and spatial reasoning for AI training. My core task involved identifying specific objects within complex images using bounding boxes and providing detailed, natural language instructions on how to locate them based on their spatial relationships (e.g., 'next to', 'underneath', 'behind'). I managed a high volume of data entries, ensuring 100% accuracy in object classification and descriptive precision. Quality was maintained through strict adherence to project guidelines and internal peer-review cycles to minimize ambiguity in instructions.