Datasets:
Update dataset card: Correct license, task category, and add descriptive tags
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by
nielsr
HF Staff
- opened
README.md
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---
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license:
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task_categories:
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---
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# VPoS-Bench: Video Pointing and Segmentation Benchmark
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VPoS-Bench tests the **generalization** of models in five diverse real-world scenarios:
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---
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## 📁 Dataset Structure
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The dataset is organized by domain. Each domain folder contains three subdirectories:
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```text
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vpos-bench/
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}
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}
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}
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---
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license: cc-by-nc-4.0
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task_categories:
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- image-segmentation
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tags:
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- video
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- multimodal
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- segmentation
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- pointing
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- spatio-temporal-grounding
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- robotics
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- autonomous-driving
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- cell-tracking
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- egocentric-vision
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- gui-interaction
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---
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# VPoS-Bench: Video Pointing and Segmentation Benchmark
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VPoS-Bench tests the **generalization** of models in five diverse real-world scenarios:
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1. **Cell Tracking**
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Track the trajectory of biological entities (e.g., nuclei or cells) across microscopy video frames.
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> Applications: developmental biology, disease modeling
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2. **Egocentric Vision**
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Identify and follow objects or hands in first-person camera footage.
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> Applications: activity recognition, assistive tech
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3. **Autonomous Driving**
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Point to traffic participants (pedestrians, vehicles, lights) under varying conditions.
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> Applications: self-driving systems, urban scene understanding
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4. **Video-GUI Interaction**
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Follow on-screen elements (e.g., cursors, buttons) across software interface recordings.
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> Applications: AI-assisted UI navigation, screen agents
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5. **Robotics**
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Track manipulable objects or robotic end-effectors as they interact in structured environments.
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> Applications: robot learning, manipulation planning
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---
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## 📁 Dataset Structure
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The dataset is organized by domain. Each domain folder contains three subdirectories:
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- `frames/` – Extracted video frames.
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- `masks/` – Segmentation masks corresponding to frames.
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- `annotations/` – JSON files containing text descriptions and point-level annotations.
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```text
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vpos-bench/
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}
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]
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}
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}
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```
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