Add LiteRT conversion: FireViewer YOLO11-M strict v1

models/fireviewer_yolo11m_strict_v1/README.md

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+# FireViewer YOLO11-M strict v1 — dynamic LiteRT conversion
+
+Source: `fireviewer/fire-smoke-yolo11m-strict-v1`, revision `065979cd2300c27eeb355ab1e1524d8223d0b276`.
+
+The image height and width are dynamic. No image resampling is embedded in this graph. The supported bounds and any alignment constraints are recorded in `runtime_contract.json`. Batch size is one. Inputs must be normalized as required by the upstream configuration.
+
+Validation includes real LiteRT inference at several square and rectangular dimensions and numerical comparison against the source model. See `validation.json` for exact shapes, tolerances and measured errors. These are conversion checks, not accuracy or performance benchmarks. Android execution has not been tested.
+
+Preserved upstream license and attribution files apply.

models/fireviewer_yolo11m_strict_v1/RIGHTS_AND_ATTRIBUTION.md

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+# Rights and attribution
+
+- Ultralytics YOLO11: AGPL-3.0 unless a separate Ultralytics enterprise licence applies.
+- FireViewer training corpus: source-specific rights remain in the dataset records.
+- This repository intentionally does **not** use FireViewer Model Use License v1.0 as an overlay on the YOLO checkpoint.

models/fireviewer_yolo11m_strict_v1/THIRD_PARTY_NOTICES.md

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+# Third-party notices
+
+Preserve Ultralytics copyright/licence notices and all training-source attribution required by the FireViewer detection corpus.

models/fireviewer_yolo11m_strict_v1/UPSTREAM_README.md

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+---
+license: agpl-3.0
+pipeline_tag: object-detection
+datasets:
+- fireviewer/fire-smoke-detection-corpus-v1
+tags:
+- fireviewer
+- fire
+- smoke
+- wildfire
+- yolo11
+- object-detection
+- onnx
+---
+
+# FireViewer YOLO11-M strict v1
+
+Reproducible two-class visible smoke/flame baseline trained on the strict-clean FireViewer detection corpus.
+
+## Status
+
+**Baseline, not the primary detector.** Current frozen independent results:
+
+| Metric | Result |
+|---|---:|
+| COCO mAP50-95 | 0.1491 |
+| COCO mAP50 | 0.2784 |
+| Smoke AP50-95 | 0.2790 |
+| Flame AP50-95 | 0.0193 |
+| Holdout precision / recall / F1 | 0.4274 / 0.2488 / 0.3145 |
+| Negative-image false-alarm rate | 0.3391 |
+
+Its weak flame AP and recall are explicitly documented; this checkpoint is retained as a reproducible iteration artifact and, in FireViewer Atelier, as a local preannotation helper rather than a certified pointing model.
+
+## Rights
+
+Ultralytics code and models are distributed under **AGPL-3.0** unless covered by a separate Ultralytics enterprise licence. Do **not** add the FireViewer non-redistribution checkpoint licence to this repository unless an upstream commercial licence and rights analysis expressly support it.
+
+Training-source rights and attribution remain separately applicable.
+
+## Reproducibility and artifact access
+
+```python
+from huggingface_hub import hf_hub_download
+
+path = hf_hub_download(
+    repo_id="fireviewer/fire-smoke-yolo11m-strict-v1",
+    repo_type="model",
+    revision="cd483986db09dbb8541087605628bcc23ba5b48f",
+    filename="model.pt",
+)
+```
+Hub artifact SHA-256 for `model.pt`: `4428ee4c17980d8f1995bbe624a593f63326ead85ec76f2f0cd480195bab2a4d`. This identity was read from Hub metadata; the weights were not downloaded or rehashed during the documentation review.
+
+The example downloads a pinned artifact; it does not execute or qualify inference. Preserve the matching configuration, labels, preprocessing and runtime dependencies from that revision. Keep raw outputs, scores, model revision and source provenance when integrating with `fireviewer-vision-runtime`.
+
+Training corpus: `fireviewer/fire-smoke-detection-corpus-v1` at `8e3cb52e86e15debdff7d37a3ce9eac39fbe1835` (see [run receipt](run-receipt.json) and [source manifest](provenance/source-manifest.json)). Base recipe and implementation are recorded with the training artifacts; a family name alone is not an immutable upstream revision.
+
+The included [inference helper](inference.py) consumes an RGB image and returns class ID/name, confidence and `xyxy` image boxes; its documented image size is 960. `--confidence 0.25` is the helper default, not a calibrated deployment threshold.
+
+## Independent evaluation protocol and limits
+
+[Published independent report](benchmark/independent-evaluation.json): 512 images from `Hajorda/flameye-wildfire-detection`, `test`, revision `361a3dea8b877482af9f4ed80eff77ffd39926ef`. The retained common protocol uses 129 calibration images and 383 holdout images; its selection is dominated by D-Fire (508/512). Zero exact training overlap is a reported hash-based check, not proof of no semantic or domain overlap.
+
+Evaluated model revision: `a75aa44716658f02eb85b4e7bba6a358040e6f86`. The report-calibrated score threshold is **0.1**; it is specific to this protocol and is **not an operational threshold**. COCO AP over the 512-image selection and F1 on the calibrated holdout are different measurements. Do not compare them with RF-DETR training-validation scores or DINOv3 pointing metrics.
+
+The report does not contain an explicit execution timestamp. Its original revision is the evidence reference; 19 September is the card review date, not a new evaluation date. Multi-event and multi-camera external validation remains necessary.
+
+Sensitive results require human validation. No image detection establishes geographic coordinates, a measured perimeter, absence of fire or future propagation.
+
+## Documentation, revision and stewardship
+
+Documentation reviewed on **19 September 2026**, using the FireViewer documentation pack and the repository at [`cd483986db09dbb8541087605628bcc23ba5b48f`](https://huggingface.co/fireviewer/fire-smoke-yolo11m-strict-v1/tree/cd483986db09dbb8541087605628bcc23ba5b48f). This is a documentation and metadata check, not a new model evaluation, training run, data acquisition or full artifact verification. Historical receipts keep their original dates and identifiers; manifest hashes of earlier README versions describe those earlier releases.
+
+The association FIRE-VIEWER provides administrative and financial stewardship for resources under its control. Technical governance is maintainer-led. Pre-association rights, UWD components, upstream licences and source-specific rights remain separate; repository placement does not transfer ownership or grant new rights.
+
+[Canonical documentation](https://github.com/fireviewer/Fireviewer_doc/blob/main/docs/public/HUGGINGFACE.md) · [Status vocabulary](https://github.com/fireviewer/Fireviewer_doc/blob/main/docs/public/STATUTS_ET_VOCABULAIRE.md) · [Institutional website](https://fire-viewer.fr). Contact: **contact@fire-viewer.fr**.

models/fireviewer_yolo11m_strict_v1/artifact_manifest.json

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models/fireviewer_yolo11m_strict_v1/labels.json

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+{
+  "0": "smoke_visible",
+  "1": "flame_visible"
+}

models/fireviewer_yolo11m_strict_v1/model.tflite

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models/fireviewer_yolo11m_strict_v1/runtime_contract.json

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+{
+  "benchmark": false,
+  "key": "fireviewer_yolo11m_strict_v1",
+  "license": "agpl-3.0",
+  "report": {
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+    "key": "fireviewer_yolo11m_strict_v1",
+    "phase": "validated",
+    "preprocessing": "RGB float32 in [0,1]; pad to multiples of 32; no resampling embedded",
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+  "route": "onnx2tf_dynamic",
+  "schema": 1,
+  "structural_only": false,
+  "task": "fire/smoke detection",
+  "tflite": [
+    "model.tflite"
+  ],
+  "title": "FireViewer YOLO11-M strict v1",
+  "upstream": "fireviewer/fire-smoke-yolo11m-strict-v1",
+  "upstream_revision": "065979cd2300c27eeb355ab1e1524d8223d0b276"
+}

models/fireviewer_yolo11m_strict_v1/validation.json

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