You can deploy this model and start earning money today!

OpenVINO/
maskrcnn_swint-fp16-ov

Name: maskrcnn_swint-fp16-ov
Availability: InStock

MaskRCNN

image-segmentation

instance-segmentation

vision

apache-2.0

Views

No views yet

maskrcnn_swint-fp16-ov

Model creator: Geti™
Original model: Mask R-CNN Swin-Tiny

Description

This is a Geti™ version of Mask R-CNN Swin-Tiny model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to FP16.

To fine-tune your model with a custom dataset, you can use Geti™ to annotate data, perform fine-tuning, and export the resulting model.

Compatibility

The provided OpenVINO™ IR model is compatible with:

OpenVINO version 2026.1.0 and higher
Model API 0.4.0 and higher

Running Model Inference with Model API

Install required packages:

pip install openvino-model-api[huggingface]

Run model inference:

python

import cv2
from model_api.models import Model
from model_api.visualizer import Visualizer

# 1. Load model
model = Model.from_pretrained("OpenVINO/maskrcnn_swint-fp16-ov")

# 2. Load image
image = cv2.imread("image.jpg")

# 3. Run inference
result = model(image)

# 4. Visualize and save results
vis = Visualizer().render(image, result)
cv2.imwrite("output.jpg", vis)

For more examples and possible optimizations, refer to the Model API Documentation.

Limitations

Check the original model documentation for limitations.

Legal information

The original model is distributed under the Apache-2.0 license. More details can be found in the original model repository.

Disclaimer

Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel's Global Human Rights Principles. Intel's products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.