Image Data Labelling
LabelboxImageEntity Ner ClassificationSegmentation
This project involved large-scale image data labeling to support multimodal large language model (LLM) development. Using Labelbox, I performed tasks including object detection, segmentation, entity (NER) classification, text generation, and summarization from image contexts. The dataset included [insert number, e.g., 50,000+] images annotated with bounding boxes, segmentation masks, and text outputs. Quality assurance was maintained through multi-stage review, inter-annotator agreement checks, and adherence to predefined labeling guidelines, ensuring high precision and consistency across annotations.
This project involved large-scale image data labeling to support multimodal large language model (LLM) development. Using Labelbox, I performed tasks including object detection, segmentation, entity (NER) classification, text generation, and summarization from image contexts. The dataset included [insert number, e.g., 50,000+] images annotated with bounding boxes, segmentation masks, and text outputs. Quality assurance was maintained through multi-stage review, inter-annotator agreement checks, and adherence to predefined labeling guidelines, ensuring high precision and consistency across annotations.
2024 - 2024