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Dataset · Hugging Face

MSALab/ParaDLC-Bench

ParaDLC-Bench ParaDLC-Bench (Parallel Detailed Localized Captioning Benchmark) is a benchmark for multi-region localized captioning that jointly evaluates caption quality and inference efficiency. It extends DLC-Bench from single-region evaluation to concurrent multi-region evaluation, explicitly stressing a model's ability to describe many regions at once without cross-region interference. 📄 Paper  |  💻 Code  |  🤖 PerceptionDLM Key… See the full description on the dataset page: https://huggingface.co/datasets/MSALab/ParaDLC-Bench.

Author / organizationMSALab
License (as declared)apache-2.0
Downloads615 (as reported by Hugging Face)
Likes2
Created19 June 2026
Last updated at source19 June 2026
region-captioningdense-captioninglocalized-captioningmultimodalbenchmarkdiffusion-language-model
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