page_type: reference description: Loads data and train the model for object detection.

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tflite_model_maker.object_detector.create

<!-- Insert buttons and diff --> <table class="tfo-notebook-buttons tfo-api nocontent" align="left"> <td> <a target="_blank" href="https://github.com/tensorflow/examples/blob/master/tensorflow_examples/lite/model_maker/core/task/object_detector.py#L219-L264"> </a> </td> </table>

Loads data and train the model for object detection.

<pre class="devsite-click-to-copy prettyprint lang-py tfo-signature-link"> <code>@classmethod</code> <code>tflite_model_maker.object_detector.create( train_data: <a href="../../tflite_model_maker/object_detector/DataLoader"><code>tflite_model_maker.object_detector.DataLoader</code></a>, model_spec: <a href="../../tflite_model_maker/object_detector/EfficientDetSpec"><code>tflite_model_maker.object_detector.EfficientDetSpec</code></a>, validation_data: Optional[<a href="../../tflite_model_maker/object_detector/DataLoader"><code>tflite_model_maker.object_detector.DataLoader</code></a>] = None, epochs: Optional[<a href="../../tflite_model_maker/object_detector/DataLoader"><code>tflite_model_maker.object_detector.DataLoader</code></a>] = None, batch_size: Optional[int] = None, train_whole_model: bool = False, do_train: bool = True ) -> T </code></pre> <h3>Used in the notebooks</h3> <table class="vertical-rules"> <thead> <tr> <th>Used in the tutorials</th> </tr> </thead> <tbody> <tr> <td> <ul> <li><a href="https://www.tensorflow.org/lite/models/modify/model_maker/object_detection">Object Detection with TensorFlow Lite Model Maker</a></li> </ul> </td> </tr> </tbody> </table> <!-- Tabular view --> <table class="responsive fixed orange"> <colgroup><col width="214px"><col></colgroup> <tr><th colspan="2"><h2 class="add-link">Args</h2></th></tr> <tr> <td> `train_data`<a id="train_data"></a> </td> <td> Training data. </td> </tr><tr> <td> `model_spec`<a id="model_spec"></a> </td> <td> Specification for the model. </td> </tr><tr> <td> `validation_data`<a id="validation_data"></a> </td> <td> Validation data. If None, skips validation process. </td> </tr><tr> <td> `epochs`<a id="epochs"></a> </td> <td> Number of epochs for training. </td> </tr><tr> <td> `batch_size`<a id="batch_size"></a> </td> <td> Batch size for training. </td> </tr><tr> <td> `train_whole_model`<a id="train_whole_model"></a> </td> <td> Boolean, False by default. If true, train the whole model. Otherwise, only train the layers that are not match `model_spec.config.var_freeze_expr`. </td> </tr><tr> <td> `do_train`<a id="do_train"></a> </td> <td> Whether to run training. </td> </tr> </table> <!-- Tabular view --> <table class="responsive fixed orange"> <colgroup><col width="214px"><col></colgroup> <tr><th colspan="2"><h2 class="add-link">Returns</h2></th></tr> <tr class="alt"> <td colspan="2"> An instance based on ObjectDetector. </td> </tr> </table>