데이터셋 탐색

AI2-Thor is an interactive environment for embodied AI. It contains four types of scenes, including kitchen, living room, bedroom and bathroom, and each scene includes 30 rooms, where each room is unique in terms of furniture placement and item types. There are over 2000 unique objects for AI agents to interact with. Source: Learning Object Relation Graph andTentative Policy for Visual Navigation Image Source: https://ai2thor.allenai.org/

This dataset comprises over 9,000 images captured in the AI2-THOR simulation environment, featuring 69 distinct object classes. It includes variations of certain objects, such as raw bread and cooked bread, to enhance diversity and realism. The images were collected using AI2-THOR's built-in tools and subsequently preprocessed and formatted for compatibility with YOLOv5, making it suitable for object detection tasks in simulated environments.