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ScreenSpot

Introduced by Kanzhi Cheng et al. in SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents17 Jan 2024 archive 2025-07-28

ScreenSpot Evaluation Benchmark

ScreenSpot is an evaluation benchmark for GUI grounding, comprising over 1,200 instructions from various environments, including iOS, Android, macOS, Windows, and Web. Each data point includes annotated element types (Text or Icon/Widget). For more details and examples, please refer to our paper.

Test Sample Details

Each test sample includes:

  • img_filename: The interface screenshot file.
  • instruction: Human-provided instruction.
  • bbox: The bounding box of the target element corresponding to the instruction.
  • data_type: The type of the target element, either "icon" or "text".
  • data_source: The interface platform, which could be iOS, Android, macOS, Windows, or Web (e.g., GitLab, Shop, Forum, Tool).
BenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Natural Language Visual Grounding ScreenSpot UGround-V1-7B Accuracy (%) 86.34 Navigating the Digital World as Humans Do: Universal... OSU-NLP-Group/UGround 18 Compare

Papers archive 2025-07-28

13 shown of 13 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 47. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Aria-UI: Visual Grounding for GUI Instructions 1 1 20 Dec 2024 ran 2 of 2 samples (0 unverified; 2 pointer-only for licence)
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction 1 2 5 Dec 2024 not harvested
ShowUI: One Vision-Language-Action Model for GUI Visual Agent 1 2 26 Nov 2024 ran 1 of 16 samples (15 unverified)
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents 2 2 30 Oct 2024 ran 1 of 1 samples (0 unverified)
Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents 1 3 7 Oct 2024 ran 0 of 1 samples (1 unverified)
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution 8 1 18 Sep 2024 ran 8 of 12 samples (4 unverified)
OmniParser for Pure Vision Based GUI Agent 1 1 1 Aug 2024 not harvested
GUICourse: From General Vision Language Models to Versatile GUI Agents 1 1 17 Jun 2024 ran 15 of 16 samples (1 unverified; 16 pointer-only for licence)
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models 1 1 19 Apr 2024 ran 5 of 9 samples (4 unverified)
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents 1 1 17 Jan 2024 ran 1 of 1 samples (0 unverified)
CogAgent: A Visual Language Model for GUI Agents 3 1 14 Dec 2023 ran 12 of 18 samples (6 unverified)
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning 2 1 14 Oct 2023 ran 3 of 3 samples (0 unverified; 1 pointer-only for licence)
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond 2 1 24 Aug 2023 ran 0 of 2 samples (2 unverified; 2 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Natural Language Visual Grounding

License archive 2025-07-28

Apache 2.0

Modalities archive 2025-07-28

ImagesTexts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

  • ScreenSpot

1 variant name, as the archive lists them.

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