dbmim-neuron-seg
dbmim-neuron-seg is a Computer vision skill for AI agents, published by ydchen0806 in the dbMiM repository on GitHub. Skillspace rates dbmim-neuron-seg C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Reproduce, monitor, improve, or report dbMiM EM instance segmentation on MEC 8nm myelin or CREMI using anisotropic UNETR, affinity learning, VOI/ARAND, WaterZ, LoCoAgg, publicEM/fullEM pretraining, SiFlow/TOS, strict frozen splits, visual diagnostics, and petabyte-readiness gates. Use for MEC experiment continuation, result comparison, checkpoint selection, crop/full-block gating, external-EM pretraining, learned post-processing, large-volume planning, or project handoff.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 46
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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