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.
