shayyzhf
/

shayyz-mlbb-draft-classifier

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 ---
 license: cc-by-4.0
-pipeline_tag: image-classification
 library_name: onnxruntime
 tags:
-  - onnx
-  - computer-vision
   - mobile-legends
-  - draft-recognition
-  - shayyz-mlbb-overlay
 ---
 # SHAYYZ MLBB Draft Classifier
-Lightweight MobileNetV3-Small classifier for recognizing MLBB heroes inside calibrated draft pick and ban slots.
-## Status
-Pre-release. This private repository will remain private until the model, evaluation report, attribution, and limitations are complete. No validated weights are published yet.
-## Intended Use
-- Local OBS draft overlays.
-- Classification of one tightly cropped pick or ban slot at a time.
-- 133 canonical heroes plus `empty` and `unknown` rejection classes.
-The model is not intended for game automation, input control, traffic interception, memory inspection, or undocumented game APIs.
-## Training Data
-Training uses privacy-reduced slot crops from a private dataset and an attributed seed from the Mobile Legends Draft Recognition dataset on Roboflow Universe. Full screenshots, player names, and private recordings are not published.
-Seed dataset: https://universe.roboflow.com/mobile-legends-draft-pick/mobile-legends-draft-recognition
-## Release Gates
-- Overall top-1 accuracy at least 98.5%.
-- Macro recall at least 97%.
-- Unknown false-accept rate at most 0.5%.
-- Runtime replay precision at least 99.5%, recall at least 98%, and p95 latency at most one second.
-## Rights and Attribution
-Model artifacts are planned for release under CC BY 4.0 after review. Mobile Legends: Bang Bang and its media are owned by their respective rights holders. This independent community project is not affiliated with or endorsed by MOONTON Games.

 ---
 license: cc-by-4.0
 library_name: onnxruntime
+pipeline_tag: image-classification
 tags:
   - mobile-legends
+  - draft-pick
+  - obs
+  - computer-vision
+  - onnx
+  - mobilenet-v3
 ---
 # SHAYYZ MLBB Draft Classifier
+SHAYYZ MLBB Draft Classifier is a lightweight visual classifier for recognizing
+hero portraits in Mobile Legends: Bang Bang draft slots. It is designed for the
+local SHAYYZ MLBB OVERLAY OBS workflow and does not use a game API, inspect game
+memory or traffic, or automate game input.
+## Model details
+- Architecture: MobileNetV3-Small
+- Revision: `87f29aa7f9e0`
+- Classes: 133 heroes plus `empty` and `unknown`
+- Input: RGB `float32`, NCHW `1 x 3 x 224 x 224`
+- Normalization: ImageNet mean `[0.485, 0.456, 0.406]` and standard deviation
+  `[0.229, 0.224, 0.225]`
+- Output: 135 unnormalized logits in the order recorded by `manifest.json`
+- Runtime: ONNX Runtime CPU
+- Precision: FP32
+The model was initialized from the official torchvision
+`MobileNet_V3_Small_Weights.DEFAULT` checkpoint and fine-tuned locally.
+## Evaluation
+| Evaluation | Top-1 accuracy | Macro recall | Unknown false-accept rate |
+| --- | ---: | ---: | ---: |
+| Synthetic validation, 270 images | 100% | 100% | — |
+| Synthetic test, 270 images | 100% | 100% | 0% |
+The exported ONNX logits differed from the PyTorch checkpoint by at most
+`0.0003394`. The production Bun/ONNX Runtime path classified all 270 synthetic
+test images correctly at a mean of 8.4 ms per image on an Apple M3 Pro CPU.
+These results measure a deterministic synthetic holdout derived from the same
+private portrait source family used for training. They do not establish live
+game accuracy or robustness to future game UI and artwork updates. Keep the
+overlay in proposal mode until a separate live replay benchmark validates the
+current game build and capture profile.
+## Intended use
+The model may propose hero selections from already-visible draft-slot crops for
+a human-operated broadcast overlay. It is not intended for player automation,
+gameplay decisions, identity recognition, surveillance, or unattended control
+of MLBB or OBS.
+## Training data
+Training used 3,240 private 224 x 224 synthetic samples: 24 variants for each of
+133 heroes plus balanced `empty` and `unknown` classes. Augmentations reproduce
+face-focused framing, transparent edge fades, team tinting, ban dimming, blur,
+and compression. The private dataset and original game artwork are not included
+in this repository or model release.
+## License and attribution
+The model weights and this model card are released under CC BY 4.0. Attribute
+them to Aung Min Khant and name **SHAYYZ MLBB Draft Classifier**.
+Mobile Legends: Bang Bang and its hero artwork are owned by Moonton. Those game
+assets are not distributed here and are not covered by this license. This model
+is an independent, unofficial project and is not endorsed by or affiliated with
+Moonton.

manifest.json ADDED Viewed

	@@ -0,0 +1,174 @@

+{
+  "schemaVersion": 1,
+  "id": "shayyz-mlbb-draft-classifier",
+  "revision": "87f29aa7f9e0",
+  "architecture": "mobilenet-v3-small",
+  "model": {
+    "path": "model.onnx",
+    "sha256": "87f29aa7f9e074ec6817a6041400ab8817271661f5f86d7b278c8c3e6e8b92cd",
+    "sizeBytes": 6634541,
+    "precision": "fp32",
+    "inputName": "input",
+    "outputName": "logits"
+  },
+  "input": {
+    "width": 224,
+    "height": 224,
+    "channels": 3,
+    "layout": "nchw",
+    "colorSpace": "rgb",
+    "mean": [
+      0.485,
+      0.456,
+      0.406
+    ],
+    "std": [
+      0.229,
+      0.224,
+      0.225
+    ]
+  },
+  "labels": [
+    "aamon",
+    "akai",
+    "aldous",
+    "alice",
+    "alpha",
+    "alucard",
+    "angela",
+    "argus",
+    "arlott",
+    "atlas",
+    "aulus",
+    "aurora",
+    "badang",
+    "balmond",
+    "bane",
+    "barats",
+    "baxia",
+    "beatrix",
+    "belerick",
+    "benedetta",
+    "brody",
+    "bruno",
+    "carmilla",
+    "cecilion",
+    "chang-e",
+    "chip",
+    "chou",
+    "cici",
+    "claude",
+    "clint",
+    "cyclops",
+    "diggie",
+    "dyrroth",
+    "edith",
+    "esmeralda",
+    "estes",
+    "eudora",
+    "fanny",
+    "faramis",
+    "floryn",
+    "franco",
+    "fredrinn",
+    "freya",
+    "gatotkaca",
+    "gloo",
+    "gord",
+    "granger",
+    "grock",
+    "guinevere",
+    "gusion",
+    "hanabi",
+    "hanzo",
+    "harith",
+    "harley",
+    "hayabusa",
+    "helcurt",
+    "hilda",
+    "hylos",
+    "irithel",
+    "ixia",
+    "jawhead",
+    "johnson",
+    "joy",
+    "julian",
+    "kadita",
+    "kagura",
+    "kaja",
+    "kalea",
+    "karina",
+    "karrie",
+    "khaleed",
+    "khufra",
+    "kimmy",
+    "lancelot",
+    "lukas",
+    "lapu-lapu",
+    "layla",
+    "leomord",
+    "lesley",
+    "ling",
+    "lolita",
+    "lunox",
+    "luo-yi",
+    "lylia",
+    "martis",
+    "masha",
+    "mathilda",
+    "melissa",
+    "minotaur",
+    "minsitthar",
+    "miya",
+    "moskov",
+    "nana",
+    "natalia",
+    "natan",
+    "nolan",
+    "novaria",
+    "obsidia",
+    "odette",
+    "paquito",
+    "pharsa",
+    "phoveus",
+    "popol-and-kupa",
+    "rafaela",
+    "roger",
+    "ruby",
+    "saber",
+    "selena",
+    "silvanna",
+    "sun",
+    "suyou",
+    "terizla",
+    "thamuz",
+    "tigreal",
+    "uranus",
+    "vale",
+    "valentina",
+    "valir",
+    "vexana",
+    "wanwan",
+    "xavier",
+    "x-borg",
+    "yin",
+    "yi-sun-shin",
+    "yu-zhong",
+    "yve",
+    "zhask",
+    "zhuxin",
+    "zilong",
+    "zetian",
+    "sora",
+    "marcel",
+    "hirara",
+    "empty",
+    "unknown"
+  ],
+  "validation": {
+    "validatedAt": "2026-08-22T16:11:16.526Z",
+    "top1Accuracy": 1,
+    "macroRecall": 1,
+    "unknownFalseAcceptRate": 0
+  }
+}

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