{ "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" ] } ] }