turian / dover-video-quality-assessment

DOVER video quality assessment tool, assigning videos both aesthetic and technical quality scores

  • Public
  • 25 runs
  • GitHub
  • Paper
  • License
Run with an API
Playground API Examples README Versions

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

DOVER: Disentangled Objective Video Quality Evaluator

WARNING: I could not replicate the precise results from the DOVER repo, despite copying their implementation directly and controlling random seeding.

Overview

DOVER is a specialized video quality assessment model for user-generated content, designed to analyze videos from both aesthetic and technical perspectives.

Features

  • Dual Perspective Analysis: Separately evaluates aesthetic appeal and technical quality.
  • Pre-trained Model: Available on Hugging Face for easy integration.
  • High Accuracy: Utilizes advanced research to ensure precise quality assessments.

Use Case

Ideal for platforms hosting and managing user-generated video content, providing insights into both the technical and aesthetic quality of videos.