keras-team/keras · error · ValueError

Input size must be at least {min_size}x{min_size}; Received:

Error message

Input size must be at least {min_size}x{min_size}; Received: input_shape={input_shape}

What it means

Error "Input size must be at least {min_size}x{min_size}; Received: input_shape={input_shape}" thrown in keras-team/keras.

Source

Thrown at keras/src/applications/imagenet_utils.py:386

                        "The input must have 3 channels; Received "
                        f"`input_shape={input_shape}`"
                    )
                if (
                    input_shape[1] is not None and input_shape[1] < min_size
                ) or (input_shape[2] is not None and input_shape[2] < min_size):
                    raise ValueError(
                        f"Input size must be at least {min_size}"
                        f"x{min_size}; Received: "
                        f"input_shape={input_shape}"
                    )
        else:
            if input_shape is not None:
                if len(input_shape) != 3:
                    raise ValueError(
                        "`input_shape` must be a tuple of three integers."
                    )
                if input_shape[-1] != 3 and weights == "imagenet":
                    raise ValueError(
                        "The input must have 3 channels; Received "
                        f"`input_shape={input_shape}`"
                    )
                if (
                    input_shape[0] is not None and input_shape[0] < min_size
                ) or (input_shape[1] is not None and input_shape[1] < min_size):
                    raise ValueError(
                        "Input size must be at least "
                        f"{min_size}x{min_size}; Received: "
                        f"input_shape={input_shape}"
                    )
    else:
        if require_flatten:
            input_shape = default_shape
        else:
            if data_format == "channels_first":
                input_shape = (3, None, None)
            else:

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/applications/imagenet_utils.py:386 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25). Data as JSON: /api/errors/d09f49bb5a3489cb. Report an issue: GitHub.