OmniParser icon_detect — MLX (YOLO11)

MLX weights of microsoft/OmniParser-v2.0's icon_detect — a YOLO11m fine-tuned on 67K screenshots to detect interactive UI elements. Runs on Apple Silicon with no PyTorch / no ultralytics at inference.

⚠️ License: AGPL-3.0

This model derives from Ultralytics YOLO11, which is AGPL-3.0 (strong copyleft). This repo is therefore licensed AGPL-3.0 — see LICENSE. If you build a network service on top of it, AGPL §13 requires you to offer users the corresponding source. For a commercial/proprietary product, consider an Ultralytics Enterprise License instead.

Provenance (corresponding source)

Original detector: microsoft/OmniParser-v2.0 icon_detect/model.pt (AGPL-3.0, Ultralytics YOLO11m).
MLX conversion format + inference code: yolo11-mlx.
omniparser_mlx.json: nc=1, class icon.

Usage

from yolo11_mlx import YOLO11   # pip install from github.com/walter-grace/yolo11-mlx
model = YOLO11("omniparser_mlx.npz")
boxes = model.predict("screenshot.png", conf=0.05, iou=0.5)[0].boxes.xyxy

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