Your scenario
Tell us about your team
Risks the dollars don't capture
The numbers above only measure engineering time. The risks below shape committed deadlines and procurement conversations, but don't fit on a spreadsheet.
When a dependency breaks or an upstream server goes down, your release slips and there's no one to call. A maintained framework with commercial support gives you an accountable escalation path.
Unmaintained frameworks accumulate unpatched CVEs in their dependency tree, with no advisory feed and no remediation timeline. For any regulated workflow, that's an audit finding waiting to happen.
Every hour fighting tooling is an hour not improving the model. Teams on a working framework run more experiments and ship better outcomes. Often the largest cost, and the hardest to see on a P&L.
Cost breakdown by category (engineering hours)
Where the difference comes from
| Cost category | Ultralytics | MMDetection | Hours saved | $ saved |
|---|---|---|---|---|
| Total over horizon | 0 hrs | 0 hrs | 0 hrs | $0 |
Why the gap is real, not theoretical
Adjust the underlying assumptions
The defaults below reflect what we hear from teams that have run both frameworks in production. Override any value to match your environment, and the model recalculates instantly.
Migration risk is modeled as: probability of a forced migration during the horizon × hours to migrate per engineer. The default represents the per-engineer cost over a 3-year horizon. Total cost scales with team size and horizon length (a 5-year horizon implies near-certain migration).