{ "netuid": 72, "slug": "streetvision-by-natix", "name": "StreetVision by NATIX", "symbol": "\u0642", "description": "Powered by NATIX\u2019s Internet of Cameras, StreetVision is advancing autonomous driving, Physical AI, and map-making.", "priceTao": 0.003343408, "priceUsd": 0.846053091261696, "athUsd": 0.8465650136485607, "change24h": -0.5165781998108171, "change7d": -2.5793365771844345, "change30d": -2.464434348166771, "change90d": -0.06, "marketCapUsd": 3658208.2262188303, "volume24hUsd": 395796.1165259409, "rootProp": 0.17591619467938654, "liquidityUsd": 3924625.9503435935, "alphaStaked": 2004242.445396297, "activeMiners": 244, "activeValidators": 6, "emissionPct": 0.006917351065555603, "emissionPerDayTao": 1.0, "registrationCost": 191.341473067, "pruningRank": 76, "immunityRemaining": 21433, "sentiment": "Neutral", "githubRepo": "https://github.com/natixnetwork/streetvision-subnet", "subnetUrl": "https://www.natix.network/?utm_source=bittensor", "scorecard": { "adoption": { "label": "weak", "score": 31, "reasons": [ { "tone": "neutral", "label": "Stars", "value": "12", "weight": null }, { "tone": "positive", "label": "Contributors", "value": "17", "weight": null }, { "tone": "neutral", "label": "24h volume", "value": "$395,796", "weight": null }, { "tone": "neutral", "label": "Validators", "value": "6", "weight": null }, { "tone": "positive", "label": "Bus factor", "value": "Top contributor: 32%", "weight": null }, { "tone": "neutral", "label": "LLM blend", "value": "heuristic=23 \u00d7 0.6 + llm=42 \u00d7 0.4", "weight": null } ] }, "shipSpeed": { "label": "mixed", "score": 59, "reasons": [ { "tone": "neutral", "label": "Commits 30d", "value": "6", "weight": null }, { "tone": "neutral", "label": "Merged PRs 30d", "value": "4", "weight": null }, { "tone": "positive", "label": "Releases 12m", "value": "10", "weight": null }, { "tone": "positive", "label": "Latest push", "value": "2026-04-29T12:29:24Z", "weight": null }, { "tone": "neutral", "label": "Momentum", "value": "stable (6/30d vs 6/mo avg)", "weight": null }, { "tone": "neutral", "label": "LLM blend", "value": "heuristic=64 \u00d7 0.6 + llm=52 \u00d7 0.4", "weight": null } ] }, "updatedAt": "2026-04-29T20:41:08.735146+00:00", "confidence": 0.82, "usefulness": { "label": "watch", "score": 53, "reasons": [ { "tone": "neutral", "label": "Durable keywords", "value": "1 matched", "weight": null }, { "tone": "positive", "label": "Commodity risk", "value": "0 matched", "weight": null }, { "tone": "neutral", "label": "Subnet traction", "value": "1/30", "weight": null }, { "tone": "neutral", "label": "LLM blend", "value": "heuristic=41 \u00d7 0.6 + llm=72 \u00d7 0.4", "weight": null } ] }, "codeQuality": { "label": "mixed", "score": 48, "reasons": [ { "tone": "positive", "label": "CI", "value": "Present", "weight": null }, { "tone": "positive", "label": "Tests", "value": "1 dir(s), framework config", "weight": null }, { "tone": "positive", "label": "Docs", "value": "Basic (600 chars)", "weight": null }, { "tone": "negative", "label": "Dep mgmt", "value": "None", "weight": null }, { "tone": "neutral", "label": "PR reviews", "value": "1.7 avg, 70% self-merge", "weight": null }, { "tone": "positive", "label": "Commit quality", "value": "55% conventional", "weight": null }, { "tone": "neutral", "label": "Security hygiene", "value": "No SECURITY.md", "weight": null }, { "tone": "neutral", "label": "LLM blend", "value": "heuristic=48 \u00d7 0.6 + llm=47 \u00d7 0.4", "weight": null } ] } }, "marketScore": 16.0, "githubScore": 62.0, "aiScore": 56.0, "masterScore": 47.0, "masterRating": "C", "lastUpdatedAt": "2026-04-29T20:21:48Z", "isStale": false, "masterScorePrev": 44.0, "purpose": { "title": "StreetVision by NATIX", "source": "llm", "confidence": 0.72, "shortSummary": "StreetVision by NATIX is a Bittensor subnet incentivizing miners to run image classification and object detection models for autonomous driving and map-making use cases, backed by NATIX's existing Internet of Cameras network. With 244 active miners and 10 releases in the past 12 months, the subnet shows real operational activity. However, low validator count (6), weak GitHub traction (12 stars), and a high self-merge ratio (0.70) temper confidence in its engineering rigor and community depth." }, "analysis": { "risks": [ "Self-merge ratio of 0.70 significantly exceeds the 0.50 red-flag threshold, indicating most PRs are merged by their own authors without genuine peer review", "Only 6 active validators and 12 GitHub stars/10 forks signal shallow external community adoption and concentration risk in consensus" ], "score": 56, "summary": "StreetVision by NATIX is a Bittensor subnet incentivizing miners to run image classification and object detection models for autonomous driving and map-making use cases, backed by NATIX's existing Internet of Cameras network. With 244 active miners and 10 releases in the past 12 months, the subnet shows real operational activity. However, low validator count (6), weak GitHub traction (12 stars), and a high self-merge ratio (0.70) temper confidence in its engineering rigor and community depth.", "provider": "cascade:sonnet", "expiresAt": "2026-05-29T20:35:57.812960+00:00", "strengths": [ "244 active miners indicates real operational demand and a functioning incentive mechanism for image classification workloads", "10 releases in 12 months with 17 contributors demonstrates consistent shipping cadence and a distributed contributor base (top contributor only 32%)", "Backed by the existing NATIX Network product (natix.network) providing a real-world camera infrastructure moat, not a greenfield idea" ], "updatedAt": "2026-04-29T20:35:57.812960+00:00", "durability": "watch", "recommendation": "Monitor for validator growth and improvement in peer-review discipline (self-merge ratio must drop below 0.5) before increasing conviction; the NATIX infrastructure moat is real but the subnet governance signals are weak.", "dimensionScores": { "adoption": 42, "shipSpeed": 52, "usefulness": 72, "codeQuality": 47 } }, "repoCoverageStatus": "covered", "image": "https://cdn.prod.website-files.com/65ae82ef7e37a0d48a19fd64/660d0879620d06c94bae4ece_webclip%20Logo%20256.jpg", "repos": [ { "netuid": 72, "repoKind": "primary", "provider": "github", "owner": "natixnetwork", "name": "streetvision-subnet", "url": "https://github.com/natixnetwork/streetvision-subnet", "source": "registry", "isArchived": false, "isFork": false } ], "repoSnapshots": [ { "fullName": "natixnetwork/streetvision-subnet", "description": "StreetVision Bittensor Subnet for Image Classification and Object Detection", "homepageUrl": "https://natix.network", "defaultBranch": "main", "stars": 12, "forks": 10, "watchers": 4, "contributors": 17, "commits30d": 6, "commits90d": 19, "mergedPrs30d": 4, "mergedPrs90d": 7, "releases12m": 10, "openIssues": 32, "closedIssues30d": 0, "languages": [ { "name": "Python", "percentage": 95.9 }, { "name": "Shell", "percentage": 3.9 }, { "name": "JavaScript", "percentage": 0.2 } ], "topics": [], "rootSignals": { "hasCi": true, "hasTests": true, "hasLintConfig": false, "hasFormatterConfig": false, "hasTypeScript": false, "hasLicense": true, "hasSecurityPolicy": false, "hasDocs": true, "hasDocker": false, "hasDependabot": false, "hasRenovate": false, "rootEntries": [ ".github", ".gitignore", ".gitmodules", ".pre-commit-config.yaml", "Dockerfile.miner", "Dockerfile.validator", "LICENSE", "README.md", "autoupdate_miner_steps.sh", "autoupdate_validator_steps.sh", "base_miner", "contrib", "docs", "ecosystem.miner.config.js", "ecosystem.validator.config.js", "min_compute.yml", "natix", "neurons", "poetry.lock", "pyproject.toml", "register.sh", "run_neuron.py", "setup_env.sh", "start_cache_updater.sh", "start_miner.sh", "start_synthetic_generator.sh", "start_validator.sh", "static", "tests" ] }, "readmeExcerpt": "

\"NATIX

StreetVision
Bittensor Subnet for Image Classification and Object Detection

! License: MIT https://img.shields.io/badge/License-MIT-yellow.svg This network is a decentralized subnet designed to inference images to extract information such as construction sites. Built on Bittensor, this subnet incentivizes miners to develop and deploy models that accurately detect features, starting with construction sites.