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omniparser-icon-detect-mlx
PlusMinus1/omniparser-icon-detect-mlx
omniparser-icon-detect-mlx is a object detection model from PlusMinus1. Use it when you need objects located in an image. It is set up for mlx. The card lists the license as agpl-3.0.
MLX weights of microsoft/OmniParser-v2.0's icondetect — a YOLO11m fine-tuned on 67K screenshots to detect interactive UI elements. Runs on Apple Silicon with no PyTorch / no ultralytics at inference.
Access
Public
Updated Jun 19, 2026
Repo size
80.6 MB
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0
Public
Repo makeup
Click a slice to open those files.
.npz80.6 MB · 100%
At a glance
- Task
- Object Detection
- Library
- mlx
- License
- agpl-3.0
- Access
- Public
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026
- SHA
- db09572e
Model card
From the Hugging Face model README
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, classicon.
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
- Task
- Object Detection
- Library
- mlx
- License
- agpl-3.0
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026