This repository documents a live project that continues to be iterated, automated, and refined. The current public package is centered on the V40 baseline, the staged architecture, and the surrounding curation/evaluation logic that shaped the system.
Near-term additions most aligned with this repository include:
- expanding the visual layer in
assets/ - publishing the Hugging Face demo represented by
examples/hf_space_app.py - adding additional public-facing examples in
examples/ - extending the methods depth in
docs/MODEL_AND_TRAINING.md - extending the visual evaluation story in
docs/EVALUATION_AND_RESULTS.md
Longer-horizon work extends beyond presenting the V40 baseline and moves toward more automated curation and feedback-aware workflows. At a high level, that direction includes:
- stronger automation around hard-negative review and dataset assembly
- tighter feedback loops between uncertainty signals and review queues
- progressively more automated handling of difficult or ambiguous cases
- broader operational hardening around the workflows documented in the companion repository
AutoFACS CLI Automation
AutoFACS CV/ML is one track inside a larger effort. Related work includes:
- data-governance and storage-boundary hardening
- evaluation and audit tooling
- automation and CLI governance
- future inference and product-facing surfaces
The separate AutoFACS CLI Automation repository documents the governed control-plane layer intended to automate, harden, and audit workflows around the broader AutoFACS effort, including workflows that support this CV/ML track.
That companion repository provides operational context, while this repository remains centered on the domain/model story.