allenai/pixmo-count

PixMo-Count数据集是一个包含图像及其对象和对象在图像中的点位置的数据集。该数据集是通过在网页图像上运行Detic对象检测器构建的，并经过过滤以提高准确性和多样性。验证集和测试集经过人工验证，仅包含2到10的计数。数据集是PixMo数据集集合的一部分，用于增强Molmo模型系列的指向能力。数据集包含图像URL、图像SHA256哈希、对象计数、点坐标和对象标签等特征。数据集分为训练集、验证集和测试集，其中验证集和测试集不包含点信息，用于评估Molmo模型的计数能力。

PixMo-Count is a dataset of images paired with objects and their point locations in the image. It was built by running the Detic object detector on web images, and then filtering the data to improve accuracy and diversity. The val and test sets are human-verified and only contain counts from 2 to 10. PixMo-Count is a part of the PixMo dataset collection and was used to augment the pointing capabilities of the Molmo family of models. The dataset contains features such as image URLs, image SHA256 hashes, object counts, point coordinates, and object labels. The dataset is divided into training, validation, and test sets, where the validation and test sets do not contain point information and are used to evaluate the counting capabilities of the Molmo models.

搜集汇总

背景与挑战

背景概述

PixMo-Count数据集包含图像URL、对象计数、点坐标等特征，用于增强Molmo模型的指向能力。数据集分为训练集、验证集和测试集，其中验证集和测试集经过人工验证且仅包含2到10的计数，用于评估模型的计数能力。