Image labelling
Image
Object DetectionI have worked on image labeling and AI data annotation projects focused on improving computer vision and multimodal AI systems. The scope of the work included image classification, object detection, image comparison, segmentation review, content moderation labeling, and prompt adherence evaluation for AI-generated images. Tasks involved identifying objects, tagging attributes, reviewing image quality, evaluating visual accuracy against prompts, and detecting inconsistencies such as missing elements, incorrect colors, distortions, or safety violations. I also handled text and translation-related annotation tasks that required detailed accuracy checks and contextual evaluation. The projects varied from small targeted datasets to large-scale annotation batches containing hundreds to thousands of items per workflow cycle. Quality measures adhered to included strict guideline compliance, consistency checks, accuracy validation, peer review processes, and maintaining high agreement scores with project standards. I followed detailed annotation instructions carefully, ensured timely completion of tasks, and maintained strong attention to detail to reduce labeling errors and improve dataset reliability for AI model training.