ultralytics/docs/en/macros/export-args.md

Argument	Type	Default	Description
format	str	'torchscript'	Target format for the exported model, such as 'onnx', 'torchscript', 'tensorflow', or others, defining compatibility with various deployment environments.
imgsz	int or tuple	640	Desired image size for the model input. Can be an integer for square images or a tuple (height, width) for specific dimensions.
keras	bool	False	Enables export to Keras format for TensorFlow SavedModel, providing compatibility with TensorFlow serving and APIs.
optimize	bool	False	Applies optimization for mobile devices when exporting to TorchScript, potentially reducing model size and improving performance.
half	bool	False	Enables FP16 (half-precision) quantization, reducing model size and potentially speeding up inference on supported hardware.
int8	bool	False	Activates INT8 quantization, further compressing the model and speeding up inference with minimal accuracy loss, primarily for edge devices.
dynamic	bool	False	Allows dynamic input sizes for ONNX, TensorRT and OpenVINO exports, enhancing flexibility in handling varying image dimensions.
simplify	bool	False	Simplifies the model graph for ONNX exports with onnxslim, potentially improving performance and compatibility.
opset	int	None	Specifies the ONNX opset version for compatibility with different ONNX parsers and runtimes. If not set, uses the latest supported version.
workspace	float	4.0	Sets the maximum workspace size in GiB for TensorRT optimizations, balancing memory usage and performance.
nms	bool	False	Adds Non-Maximum Suppression (NMS) to the CoreML export, essential for accurate and efficient detection post-processing.
batch	int	1	Specifies export model batch inference size or the max number of images the exported model will process concurrently in predict mode.