Netflix VMAF and libvmaf
Source: https://github.com/netflix/vmaf
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Perceptual full-reference video quality metric plus C library; also bundles PSNR, SSIM, MS-SSIM, CIEDE2000 and CAMBI banding detection. Standard tool for choosing bitrates and validating encodes; integrates with FFmpeg.",
"source_type": "repository",
"availability": "available",
"source_owner": "Netflix",
"next_check_at": "2026-10-18T00:00:00.000Z",
"known_limitations": [
"Score meaning differs between v0 and v1 model generations; compare like with like."
],
"upstream_updated_at": "2026-10-17T05:57:47.000Z"
}Evidence claims
- [upstream_claim] README: VMAF is an Emmy-winning perceptual video quality algorithm; package includes libvmaf C library and Python tools to train custom models; libvmaf includes PSNR, PSNR-HVS, SSIM, MS-SSIM, CIEDE2000. · locator: README, intro paragraphs source
- [sourced_fact] README news dated 2026-06: new VMAF v1 models released; v0 models remain documented; libvmaf v3.0.0 released 2023-12-07. · locator: README, News section source
- [sourced_fact] LICENSE file is BSD+Patent (SPDX BSD-2-Clause-Patent) with copyright Netflix 2020. · locator: LICENSE file, header source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | BSD-2-Clause-Patent | permitted | permitted | permitted | not_applicable | BSD+Patent with express patent grant, per LICENSE text; trained model files' separate terms not checked. |