maoam_data

MAOAM: Unified Object and Material Selection with Vision-Language Models Project Page Paper GitHub MAOAM (Mask Any Object And Material) is a unified selection framework that enables precise object and material-level selection across both text- and click-based interactions. This repository contains a 10% subset of the material annotations from the paper, featuring per-region text descriptions and VQA questions across three sets: SynMat, RealMat, and SAMa. Dataset… See the full description on the dataset page: data.

Source: Hugging Face Hub (jpark677/maoam_data). Metadata imported from the dataset’s Hub tags.