Image-to-Text
PyTorch
Safetensors
PEFT
English
remote-sensing
satellite-imagery
earth-observation
change-detection
visual-grounding
image-captioning
visual-question-answering
optical-sar-fusion
sar
multimodal
lora
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Download docs/LIMITATIONS.md from thundercode/SatQuery: direct link, hf CLI and curl.
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8.36 kB
| # Limitations | |
| An honest, exhaustive catalogue of everything SatQuery AI does **not** do, does poorly, or does not | |
| know. Negative results and open items are listed here rather than omitted, because a limitation that | |
| is not written down is a limitation that will be discovered by someone else at the worst moment. | |
| **Status tags:** `OPEN` · `NOT RUN` · `REJECTED` · `DEFERRED` · `BY DESIGN`. | |
| --- | |
| ## 1. Model quality | |
| | # | Limitation | Detail | | |
| |---|---|---| | |
| | 1 | **Grounding IoU is low in absolute terms** | mean best IoU **0.2838** (canonical) / **0.2566** (matched6). The trained head clearly beats the zero-shot baseline (0.0972), but 0.28 is not "solved". | | |
| | 2 | **Grounding is protocol-sensitive** | two protocols × two decode variants give very different numbers: head_threshold 0.2838, head_argmax **0.1215**, zero-shot 0.0972. An absolute value is meaningless without its protocol. | | |
| | 3 | **Optical-SAR accuracy is carried by common classes** | accuracy **0.931** but macro-F1 **0.434161**. 5 of 19 classes are absent in the scored split and contribute 0.0 to macro-F1 by construction. Never quote accuracy alone. | | |
| | 4 | **Change-VQA is weak on rare classes** | accuracy 0.697626 / macro-F1 0.378373 (test) and 0.651469 / 0.372309 (test2). The wide accuracy–macroF1 gap is the signature of class imbalance. | | |
| | 5 | **VQA is weak-but-related** | the live VQA path answers broadly related content (e.g. "Grassland") rather than a crisp class. | | |
| | 6 | **Optical-SAR returns a bare class index** | the live service returns `class_18`, not a human-readable CLC label. | | |
| | 7 | **Calibration made things worse** | ECE **0.013755 → 0.014929** (`ece_improvement` −0.001174). Retained only because it is part of the frozen config — **not** because it helped. | | |
| | 8 | **The VLM adapter is not accepted** | metrics usable (exact_match 0.963, F1 0.96432, +49.5 pp) but the artifact is **ACCEPTANCE-REJECTED**; the deployed caption/VQA path uses the **unadapted** model. | | |
| | 9 | **The router number is not a test result** | 0.965116 is **validation**, **ungated**, **n = 86**, corpus-limited. The test split was **NOT RUN**. | | |
| | 10 | **The router's routing is not perfect** | known residuals below (§2). | | |
| ## 2. Router residuals (known misroutes) | |
| | # | Query | Behaviour | Note | | |
| |---|---|---|---| | |
| | 11 | *"What is the new runway?"* | reads `change`, not `vqa` | the word "new" triggers a change reading | | |
| | 12 | *"How much built-up area was added?"* | reads `vqa` (under-trigger) | a change-style quantifier the router does not catch | | |
| | 13 | *"What changed between the earlier and later image?"* with **one** asset | console **reads** `change`, **dispatches** `change_vqa` | **intentional** — reading is asset-count-blind, dispatch is asset-count-aware — but visually surprising. Documented in [`architecture/04-router.md`](architecture/04-router.md). | | |
| ## 3. Evaluation gaps | |
| | # | Gap | State | | |
| |---|---|---| | |
| | 14 | **No system-level end-to-end benchmark** | **NOT RUN — none exists.** No end-to-end accuracy is claimed anywhere. | | |
| | 15 | **Router test split** | **NOT RUN** | | |
| | 16 | **Benchmark adapters** | **NOT RUN** | | |
| | 17 | **End-to-end latency benchmark** | **NOT RUN** (per-specialist latency is recorded only incidentally) | | |
| | 18 | **Cross-dataset generalisation** | **NOT RUN** — each specialist is evaluated only on its own training-family split | | |
| | 19 | **Human evaluation** | **NOT RUN** | | |
| | 20 | **Robustness / adversarial evaluation** | **NOT RUN** | | |
| | 21 | **BigEarthNet label semantics** | the local subset is **100 % single-label** vs the official 1–11 multi-label scheme, so its metrics are **not comparable** to published numbers | | |
| | 22 | **Reliability diagram** | the shipped diagram is the **pre-scaling** curve (labelled as such); the calibrated curve is not plotted | | |
| | 23 | **Statistical significance for most metrics** | only the grounding resolution decision (448 vs 224) has a paired test with a confidence interval. Other per-task numbers are point estimates. | | |
| ## 4. Operational limitations | |
| | # | Limitation | State | | |
| |---|---|---| | |
| | 24 | **B-07: transient tunnel gaps** | a request can hang or return 504. Patch prepared, **NOT deployed**. **OPEN** | | |
| | 25 | **B-07 root shape** | in `auto` mode a tunnel timeout falls through to the forward path, burning `wake_timeout_s` (120 s) on a `302`; worst case ≈ **249 s** (150 + 120). Measured. | | |
| | 26 | **Cold start is tens of seconds** | Render free tier sleeps; the Codespace may be stopped. Documented, not hidden. | | |
| | 27 | **B-02: `codespace_name` trailing newline** | cosmetic; the wake path strips it. **OPEN (cosmetic)** | | |
| | 28 | **No database, auth, or queue** | stateless gateway **by design** — no persistence of runs or users. | | |
| | 29 | **Deployment repos are private** | their links 404 for an outside audience. **BY DESIGN** | | |
| | 30 | **`deploy/` in the monorepo is stale/untracked** | not the deployed source. Trap. | | |
| | 31 | **No APM, distributed tracing, or cost accounting** | observability is limited to the health payload and per-run traces. | | |
| | 32 | **Single-region, no HA** | one Render service, one Codespace. | | |
| ## 5. Packaging and licensing | |
| | # | Limitation | State | | |
| |---|---|---| | |
| | 33 | **No `LICENSE` file** | none exists in the source repository. **OPEN** — a licence must be selected before public release of the code. | | |
| | 34 | **Backbones are not redistributed** | fetched from the Hub at run time; their licences are their own. | | |
| | 35 | **Artifact bloat** | `artifacts/` is ~3.7 GB, mostly reproducible caches, a duplicate 774 MB ZIP, a duplicate 241 MB probe, two 231 MB feature caches, a superseded 276 MB head, and ~235 MB of selection manifests — not released weights. | | |
| | 36 | **The released weights require their backbones** | the six artifacts are small modules; a consumer must also fetch the pinned backbones. | | |
| ## 6. Documentation caveats | |
| | # | Caveat | State | | |
| |---|---|---| | |
| | 37 | **`docs/FINAL_DELIVERY_REPORT.md` §6 is stale** | it still lists the bundled EO change pair as DEGRADED and B-01 as BLOCKED; both were resolved on 2026-09-25. | | |
| | 38 | **The monorepo `README.md` was materially stale** | it described a hermetic frontend, an in-progress Render/Codespace, and a `/v1/*` contract. Superseded by this release's README. | | |
| | 39 | **`hf/` docs were stale** | they asserted the project owns no weights and has no HF credentials. Both were false at release time. | | |
| | 40 | **Anatomy plate image variant** | points at the 720×720 variant of an image the recorded run analysed at 730×730. Cosmetic. | | |
| | 41 | **The original master plan describes a superseded deployment** | it specifies a Gradio GUI + HF Space + ZeroGPU + Railway. The shipped system is a static frontend + Render + Codespace tunnel, serving JSON. | | |
| ## 7. Explicit non-claims | |
| These are things a reader might reasonably assume, which this project does **not** claim: | |
| - **No claim of state-of-the-art performance** on any benchmark. | |
| - **No claim of production readiness for model quality.** The deployment runs; the models carry the | |
| limitations above. | |
| - **No claim that the trained heads generalise** beyond their training-family test splits. | |
| - **No claim that calibration improves confidence** — it made ECE worse. | |
| - **No claim that the VLM adapter is accepted** for production use. | |
| - **No claim of an end-to-end accuracy number** — none exists. | |
| - **No claim that the router is correct on all phrasings** — residuals exist. | |
| - **No claim of robustness** to adversarial, corrupted, or out-of-distribution inputs. | |
| - **No claim of geolocation accuracy** — grounding boxes are image-relative, not geodetic. | |
| - **No claim that the system is a safety-, legal-, or life-critical tool.** | |
| ## 8. Where the evidence lives | |
| | Topic | Evidence | | |
| |---|---| | |
| | All measured metrics | `artifacts/**/*.json`, verified by `release/tools/verify_readme_metrics.py` | | |
| | Metric honesty rules | [`BENCHMARKS.md`](BENCHMARKS.md), [`EVALUATION.md`](EVALUATION.md) | | |
| | The grounding resolution rejection | `docs/PHASE7_RESOLUTION_DECISION.md` | | |
| | The VLM rejection | `artifacts/vlm/phase6_closure.json` (`why_acceptance_rejected`) | | |
| | B-07 / B-02 | [`DEPLOYMENT.md`](DEPLOYMENT.md) §8.1, §5 | | |
| | Router residuals | [`architecture/04-router.md`](architecture/04-router.md) | | |
| | Environment traps | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) | | |