LLM-Seg40K
Introduced by Wang et al. in LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning
LLM-Seg40K dataset contains 14K images in total. The dataset is divided into training, validation, and test sets, containing 11K, 1K, and 2K images respectively. For the training split, each image has 3.95 questions on average and the average question question length is 15.2 words. The training set contains 1458 different categories in total.
Papers
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