Ross ROSS = Recommend OSS · open-source software intelligence for agents

OpnTec/mvisc

Mobile Visual Classification (MVISC) is a project to identify and classify animals. observed · 2026-08-28

github.com/OpnTec/mvisc · HTML · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3960
  • days_rel: n/a
  • days_push: 1566
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1384 stars · 0 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MVISC (Mobile Visual Classification) is an application that identifies and classifies individual animals from photos using computer vision, matching visual patterns against a local database to determine if an animal is new or already known. It is a FOSSASIA project based on the former Zooracle project, intended for both online and offline use.

Use cases

  • identify individual animals from photos
  • match a photographed animal against a database of known individuals
  • wildlife research without invasive marking
  • manage and export a database of animal sightings
  • run offline animal recognition in the field

When to choose

  • you need non-invasive individual animal identification from photos
  • you work in wildlife conservation or field research with limited connectivity
  • you want an open-source, GPL-licensed recognition tool you can extend

When to avoid

  • you need general object detection or species classification rather than individual matching
  • you need a production-ready, actively maintained product
  • you need large-scale cloud-based recognition infrastructure

Facets

application · maturity experimental

computer-vision image-processing machine-learning computer-vision image-processing machine-learning mobile-development cross-platform animal-recognition individual-identification wildlife conservation image-matching keypoints mobile

1 source

Member repositories

RepositoryRoleHealth v2
OpnTec/mviscmain32

For agents

markdown · JSON · MCP: product_card(name="OpnTec/mvisc")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem