Python scripts performing object detection using the YOLOv8 model in ONNX.
Detect objects in images using the YOLOv8 model with Python scripts that work with ONNX.
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ONNX-YOLOv8-Object-Detection has 491 stars on GitHub. It has been forked 122 times. ONNX-YOLOv8-Object-Detection is written mainly in Python. It has been in active development since 2023. ONNX-YOLOv8-Object-Detection is available under the MIT license. Its main topics are computer-vision, deep-learning, object-detection, onnx.
Python scripts performing object detection using the YOLOv8 model in ONNX.
ONNX-YOLOv8-Object-Detection is an open-source project. It is released under the MIT license.
Yes. ONNX-YOLOv8-Object-Detection is free and open source — you can use, modify and self-host it.
ONNX-YOLOv8-Object-Detection is available under the MIT license.
ONNX-YOLOv8-Object-Detection is written mainly in Python.
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