AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

OpenCompass Hub

AV-Odyssey-Bench

AV-Odyssey Bench. This benchmark encompasses 26 different tasks and 4,555 carefully crafted problems, each incorporating text, visual, and audio components. All data are newly collected and annotated by humans, not from any existing audio-visual dataset.

Evaluation context and evidence

Source
OpenCompass Hub
Publisher
CUHK MMLab, CUHK (SZ), Stanford University, UC Berkeley, Yale University
Benchmark release
2024-12-03
Collected
2026-08-18
Modality
multimodal

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.