Publish rice YOLO26-cls TFLite + labels + source weights with model card

CITATION.cff

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+cff-version: 1.2.0
+title: "ChashiBhAI Rice Disease Classifier"
+message: If you use this model, please cite it.
+type: software
+authors:
+  - family-names: Ahmed
+    given-names: Shakil
+    alias: Shaq2
+repository-code: https://github.com/MRSHAKILS/AI-Powered-Smart-Agriculture-Advisory-Platform-for-Bangladesh
+url: https://huggingface.co/Shaq2/chashibhai-rice-disease-cls
+license: MIT
+version: "0.1.0"
+date-released: "2026-08-16"

LICENSE

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+MIT License
+
+Copyright (c) 2026 Shakil Ahmed (ChashiBhAI)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

NOTICE.md

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+# Attribution
+
+On-device crop disease classifier for ChashiBhAI.
+Author: Shakil Ahmed (Hugging Face: Shaq2).
+
+Not claimed here:
+- KrishokChat dataset / LLM / RAG — RaiyanKhaan/KrishokChat-Advisory-System, arXiv:2606.29243
+- Ultralytics YOLO

README.md

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+---
+license: mit
+library_name: ultralytics
+pipeline_tag: image-classification
+tags:
+  - agriculture
+  - bangladesh
+  - crop-disease
+  - tflite
+  - yolo26
+  - on-device
+  - rice
+  - chashibhai
+language:
+  - bn
+  - en
+base_model_relation: quantized
+---
+
+# ChashiBhAI Rice Disease Classifier
+
+| | |
+|---|---|
+| **Author** | [Shaq2](https://huggingface.co/Shaq2) (Shakil Ahmed) |
+| **Crop** | rice (ধান) |
+| **Task** | Image classification (leaf disease) |
+| **Architecture** | YOLO26-cls → TFLite FP16 |
+| **Input** | `[1, 640, 640, 3]` NHWC RGB `/255.0` |
+| **Output** | `[1, 8]` softmax probabilities (`nms: false`) |
+| **Status** | `production-demo` |
+| **App** | ChashiBhAI (Expo / React Native, on-device diagnosis) |
+| **Code** | [GitHub](https://github.com/MRSHAKILS/AI-Powered-Smart-Agriculture-Advisory-Platform-for-Bangladesh) |
+| **Collection** | [ChashiBhAI on-device classifiers](https://huggingface.co/collections/Shaq2/chashibhai-on-device-disease-classifiers) |
+
+Disease ID in ChashiBhAI **always** runs on-device. Gemini / KrishokChat generate advisory **text only** and never see the photo.
+
+## Files
+
+| File | Role |
+|---|---|
+| `model.tflite` | On-device graph used by the Android app (~3.12 MB) |
+| `labels.json` | Canonical class names **and** preprocess contract |
+| `best.pt` | Ultralytics source weights (export parent) |
+
+## Classes (8)
+
+| Label | English | Bangla |
+|---|---|---|
+| `Rice__Bacterial_Leaf_Blight` | Bacterial Leaf Blight | ব্যাকটেরিয়াজনিত পাতা পোড়া |
+| `Rice__Brown_Spot` | Brown Spot | বাদামী দাগ |
+| `Rice__Healthy_Leaf` | Healthy Leaf | সুস্থ পাতা |
+| `Rice__Leaf_Blast` | Leaf Blast | ব্লাস্ট |
+| `Rice__Leaf_Scald` | Leaf Scald | পাতা পোড়া |
+| `Rice__Narrow_Brown_Leaf_Spot` | Narrow Brown Leaf Spot | সরু বাদামী দাগ |
+| `Rice__Rice_Hispa` | Rice Hispa | হিসপা |
+| `Rice__Sheath_Blight` | Sheath Blight | শেথ ব্লাইট |
+
+## Preprocessing (variant C) — required
+
+Do **not** letterbox. Letterbox disagreed with the `.pt` on non-square photos.
+
+1. Resize the **shortest side** to `imgsz` = **640**, keep aspect ratio.
+2. **Centre-crop** to `640×640`.
+3. RGB, NHWC, `float32 / 255.0`.
+
+`labels.json` is the source of truth (`preprocess: centercrop`).
+
+## Measured export checks
+
+| Check | Result |
+|---|---|
+| Preprocess verified vs `.pt` | yes (variant C, 100% top-1 vs `.pt` on the rice hold-out used for export) |
+| FP16 vs FP32 top-1 agreement | 1.0 |
+| FP16 vs FP32 max softmax diff | 0.000372171 |
+| Bundled in APK | yes (rice) |
+
+## Intended use
+
+- On-device diagnosis in ChashiBhAI for Bangladeshi farmers (Bangla-first UI).
+- Research reproduction of the mobile export.
+
+**Out of scope:** detection / bounding boxes, crop auto-routing, chemical dosage (handled by a separate advisory stack with a refuse gate).
+
+## Limitations
+
+Demo-grade on-device classifier. Not a plant-pathologist substitute. Retake if confidence is low or the leaf is not centred.
+
+## Load (Python)
+
+```python
+import json
+from pathlib import Path
+import numpy as np
+from PIL import Image
+import tensorflow as tf
+
+def preprocess_centercrop(path: str, imgsz: int = 640) -> np.ndarray:
+    im = Image.open(path).convert("RGB")
+    w, h = im.size
+    scale = imgsz / min(w, h)
+    nw, nh = int(round(w * scale)), int(round(h * scale))
+    im = im.resize((nw, nh), Image.BILINEAR)
+    left, top = (nw - imgsz) // 2, (nh - imgsz) // 2
+    im = im.crop((left, top, left + imgsz, top + imgsz))
+    return (np.asarray(im, dtype=np.float32) / 255.0)[None, ...]
+
+labels = json.loads(Path("labels.json").read_text(encoding="utf-8"))
+it = tf.lite.Interpreter(model_path="model.tflite")
+it.allocate_tensors()
+inp, out = it.get_input_details()[0], it.get_output_details()[0]
+it.set_tensor(inp["index"], preprocess_centercrop("leaf.jpg", labels["imgsz"]))
+it.invoke()
+p = it.get_tensor(out["index"])[0]
+i = int(p.argmax())
+print(labels["names"][i], float(p[i]))
+```
+
+## Related models (same author)
+
+- [Rice](https://huggingface.co/Shaq2/chashibhai-rice-disease-cls)
+- [Brassica](https://huggingface.co/Shaq2/chashibhai-brassica-disease-cls)
+- [Corn](https://huggingface.co/Shaq2/chashibhai-corn-disease-cls)
+- Suite index: [chashibhai-disease-classifiers](https://huggingface.co/Shaq2/chashibhai-disease-classifiers)
+
+## Credit (not this model)
+
+KrishokChat Bengali advisory LLM / RAG is **not** this classifier. See [RaiyanKhaan/KrishokChat-Advisory-System](https://huggingface.co/RaiyanKhaan/KrishokChat-Advisory-System) and arXiv:2606.29243 (Reza & Shahid).
+
+## Citation
+
+```bibtex
+@software{ahmed2026chashibhai_rice_cls,
+  author = {Ahmed, Shakil},
+  title  = {ChashiBhAI Rice Disease Classifier},
+  year   = {2026},
+  url    = {https://huggingface.co/Shaq2/chashibhai-rice-disease-cls}
+}
+```
+
+## License
+
+MIT (see `LICENSE`). Ultralytics remains under its own license. This pack redistributes **weights**, not training images.

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f25243959a3d7dd0851f4d2e53e30890515cadd5e318871ffe04c0413865d61a
+size 3205243

config.json

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+{
+  "architectures": [
+    "YOLO26Cls"
+  ],
+  "model_type": "yolo26-cls",
+  "library_name": "ultralytics",
+  "crop": "rice",
+  "task": "image-classification",
+  "imgsz": 640,
+  "num_classes": 8,
+  "id2label": {
+    "0": "Rice__Bacterial_Leaf_Blight",
+    "1": "Rice__Brown_Spot",
+    "2": "Rice__Healthy_Leaf",
+    "3": "Rice__Leaf_Blast",
+    "4": "Rice__Leaf_Scald",
+    "5": "Rice__Narrow_Brown_Leaf_Spot",
+    "6": "Rice__Rice_Hispa",
+    "7": "Rice__Sheath_Blight"
+  },
+  "label2id": {
+    "Rice__Bacterial_Leaf_Blight": 0,
+    "Rice__Brown_Spot": 1,
+    "Rice__Healthy_Leaf": 2,
+    "Rice__Leaf_Blast": 3,
+    "Rice__Leaf_Scald": 4,
+    "Rice__Narrow_Brown_Leaf_Spot": 5,
+    "Rice__Rice_Hispa": 6,
+    "Rice__Sheath_Blight": 7
+  },
+  "preprocess": "centercrop",
+  "softmaxed": true,
+  "nms": false,
+  "status": "production-demo"
+}

labels.json

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+{
+  "crop": "rice-disease",
+  "task": "classify",
+  "imgsz": 640,
+  "inputShape": [
+    1,
+    640,
+    640,
+    3
+  ],
+  "outputShape": [
+    1,
+    8
+  ],
+  "softmaxed": true,
+  "preprocess": "centercrop",
+  "preprocessVerified": true,
+  "names": [
+    "Rice__Bacterial_Leaf_Blight",
+    "Rice__Brown_Spot",
+    "Rice__Healthy_Leaf",
+    "Rice__Leaf_Blast",
+    "Rice__Leaf_Scald",
+    "Rice__Narrow_Brown_Leaf_Spot",
+    "Rice__Rice_Hispa",
+    "Rice__Sheath_Blight"
+  ]
+}

model.tflite

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f9b5e2de9e23c49ba3ccc3a54645d24a4aab991897a7f18aa599c212957ad478
+size 3121879