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"name": "Sensorflow Studio",
"version": "0.5.0",
"description": "An autonomous-driving data platform for dataset exploration, perception label evaluation, MITL review, safety/compliance gates, and mega-scale evaluation — served as a React Studio with a FastAPI backend.",
"links": {
"github": "https://github.com/whassan007/SensorflowStudio",
"hf_space": "https://huggingface.co/spaces/whassan/sensorflow-studio"
},
"releases": [
{
"version": "0.5.0",
"date": "2026-08-13",
"title": "About and versioning visibility",
"highlights": [
"About dialog and Help menu tab listing each notable version with release notes",
"Current version chip in the AppBar (and a matching chip at the bottom of the nav drawer)",
"Shared releases catalog (JSON) plus CHANGELOG.md; GET /api/about and GET /api/version",
"Help chatbot answers for “what version”, “what’s new”, “release notes”, and “about”"
]
},
{
"version": "0.4.0",
"date": "2026-08-13",
"title": "In-app help chatbot",
"highlights": [
"Help menu: How it works, Glossary, Pages, Tips, and Docs tabs",
"Per-page “About this page” guides plus a floating Q&A chatbot",
"CPU-friendly FAQ matcher with optional Ollama enrichment (PR #3)"
]
},
{
"version": "0.3.0",
"date": "2026-08-13",
"title": "Closed-loop, governance, hardening, and ROTR",
"highlights": [
"Next-gen closed-loop evaluation with counterfactuals, causal replay, and a launch gauntlet (/api/nextgen)",
"Studio 2.0 control-plane registry, composed release gate, hardware gate matrix, and observability funnel (/api/studio2)",
"Production hardening audit: 30 findings, surgical fixes, contracts, HITL prioritization, and a readiness scorecard (/api/hardening)",
"ROTR (right-of-the-road) violation platform: rule engine, causal attribution, consequence replay, and training flywheel (/api/rotr)"
]
},
{
"version": "0.2.0",
"date": "2026-08-12",
"title": "L4 Studio platform, perception engines, and safety suite",
"highlights": [
"Automated 3D perception pipeline and Phase 1 population-scale evaluation foundation (PR #2)",
"BEV-Fusion perception engine with masklet temporal propagation and self-evaluation (/api/bevfusion)",
"L4 label-evaluation + aggregate-first megaeval backends, unified React app shell, Hugging Face Space deploy",
"Safety & compliance: ODD coverage, release gates, SSAM, calibration, discrepancy mining, scenario DB (/api/safety)",
"Sequential regression (seqeval), RCA workbench, rare-event miner, Vitis HIL, Hill Climbing EM, retrospective analyzer, agentic launch readiness, and visual Studio UX"
]
},
{
"version": "0.1.0",
"date": "2026-07-26",
"title": "Initial auto-labeler and comparative dashboard",
"highlights": [
"YOLO auto-labeler framework for detection labeling and quality evaluation",
"Crash analysis and data extraction toolkits",
"Comparative analytics dashboard visualization layer",
"CC BY-NC-SA 4.0 license and DGX Spark deployment prep"
]
}
]
}
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