{"id":2153,"date":"2024-03-12T09:18:22","date_gmt":"2024-03-12T09:18:22","guid":{"rendered":"https:\/\/www.silicloud.com\/blog\/how-to-load-custom-datasets-in-keras\/"},"modified":"2024-04-08T15:17:48","modified_gmt":"2024-04-08T15:17:48","slug":"how-to-load-custom-datasets-in-keras","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/blog\/how-to-load-custom-datasets-in-keras\/","title":{"rendered":"How to load custom datasets in Keras?"},"content":{"rendered":"<p>In <a href=\"https:\/\/keras.io\/\">Keras<\/a>, loading a custom dataset typically involves the following steps:<\/p>\n<ol>\n<li>Prepare the dataset: First, make sure to have your custom dataset ready, including data files, label files, and so on.<\/li>\n<li>Create a data generator: In Keras, it is common to use the ImageDataGenerator class to create a data generator, which generates batches of data from a dataset during model training.<\/li>\n<li>Load data: Use the flow_from_directory() method of the data generator to load the dataset, which loads data from a specified directory and allows for setting parameters such as batch size and image size.<\/li>\n<li>Data preprocessing: Perform necessary operations such as normalization and scaling on the data being loaded.<\/li>\n<\/ol>\n<p>Here is an example code demonstrating how to load a custom dataset in Keras.<\/p>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">from<\/span> keras.preprocessing.image <span class=\"hljs-keyword\">import<\/span> ImageDataGenerator\r\n\r\n<span class=\"hljs-comment\"># \u521b\u5efa\u6570\u636e\u751f\u6210\u5668<\/span>\r\ndata_gen = ImageDataGenerator(rescale=<span class=\"hljs-number\">1.<\/span>\/<span class=\"hljs-number\">255<\/span>)  <span class=\"hljs-comment\"># \u5bf9\u6570\u636e\u8fdb\u884c\u5f52\u4e00\u5316<\/span>\r\n\r\n<span class=\"hljs-comment\"># \u52a0\u8f7d\u6570\u636e\u96c6<\/span>\r\ntrain_generator = data_gen.flow_from_directory(\r\n    <span class=\"hljs-string\">'path\/to\/train_data'<\/span>,\r\n    target_size=(<span class=\"hljs-number\">224<\/span>, <span class=\"hljs-number\">224<\/span>),  <span class=\"hljs-comment\"># \u56fe\u50cf\u5927\u5c0f<\/span>\r\n    batch_size=<span class=\"hljs-number\">32<\/span>,\r\n    class_mode=<span class=\"hljs-string\">'categorical'<\/span>  <span class=\"hljs-comment\"># \u5206\u7c7b\u6807\u7b7e<\/span>\r\n)\r\n\r\n<span class=\"hljs-comment\"># \u521b\u5efa\u6a21\u578b<\/span>\r\nmodel = some_model()\r\n\r\n<span class=\"hljs-comment\"># \u7f16\u8bd1\u6a21\u578b<\/span>\r\nmodel.<span class=\"hljs-built_in\">compile<\/span>(optimizer=<span class=\"hljs-string\">'adam'<\/span>, loss=<span class=\"hljs-string\">'categorical_crossentropy'<\/span>, metrics=[<span class=\"hljs-string\">'accuracy'<\/span>])\r\n\r\n<span class=\"hljs-comment\"># \u8bad\u7ec3\u6a21\u578b<\/span>\r\nmodel.fit(train_generator, epochs=<span class=\"hljs-number\">10<\/span>)\r\n<\/code><\/pre>\n<p>In the example above, we start by creating an ImageDataGenerator object and configuring data normalization. We then load the training dataset using the flow_from_directory() method, setting image size, batch size, and classification labels. Next, we create a model and compile it. Finally, we train the model using the fit() method, passing in the data generator as the source of training data.<\/p>\n<p>&nbsp;<\/p>\n<p>More tutorials<\/p>\n<p><a class=\"LinkSuggestion__Link-sc-1gewdgc-4 cLBplk\" href=\"https:\/\/www.silicloud.com\/blog\/how-to-evaluate-and-test-models-in-keras\/\" target=\"_blank\" rel=\"noopener\">How to evaluate and test models in Keras?<span class=\"sc-gswNZR eASTkv\">(Opens in a new browser tab)<\/span><\/a><\/p>\n<p><a class=\"LinkSuggestion__Link-sc-1gewdgc-4 cLBplk\" href=\"https:\/\/www.silicloud.com\/blog\/how-to-use-custom-loss-functions-in-keras\/\" target=\"_blank\" rel=\"noopener\">How to use custom loss functions in Keras.<span class=\"sc-gswNZR eASTkv\">(Opens in a new browser tab)<\/span><\/a><\/p>\n<p><a class=\"LinkSuggestion__Link-sc-1gewdgc-4 cLBplk\" href=\"https:\/\/www.silicloud.com\/blog\/how-to-use-custom-loss-functions-in-keras\/\" target=\"_blank\" rel=\"noopener\">How to use custom loss functions in Keras.<span class=\"sc-gswNZR eASTkv\">(Opens in a new browser tab)<\/span><\/a><\/p>\n<p><a class=\"LinkSuggestion__Link-sc-1gewdgc-4 cLBplk\" href=\"https:\/\/www.silicloud.com\/blog\/what-are-the-scenarios-where-the-tostring-function-is-used-in-c\/\" target=\"_blank\" rel=\"noopener\">What are the scenarios where the tostring function is used in C++?<span class=\"sc-gswNZR eASTkv\">(Opens in a new browser tab)<\/span><\/a><\/p>\n<p><a class=\"LinkSuggestion__Link-sc-1gewdgc-4 cLBplk\" href=\"https:\/\/www.silicloud.com\/blog\/how-to-implement-sequence-to-sequence-learning-in-keras\/\" target=\"_blank\" rel=\"noopener\">How to implement sequence-to-sequence learning in Keras?<span class=\"sc-gswNZR eASTkv\">(Opens in a new browser tab)<\/span><\/a><\/p>\n<p><a class=\"LinkSuggestion__Link-sc-1gewdgc-4 cLBplk\" href=\"https:\/\/www.silicloud.com\/blog\/how-to-handle-a-large-number-of-concurrent-read-and-write-requests-in-cassandra\/\" target=\"_blank\" rel=\"noopener\">How to handle a large number of concurrent read and write requests in Cassandra?<span class=\"sc-gswNZR eASTkv\">(Opens in a new browser tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In Keras, loading a custom dataset typically involves the following steps: Prepare the dataset: First, make sure to have your custom dataset ready, including data files, label files, and so on. Create a data generator: In Keras, it is common to use the ImageDataGenerator class to create a data generator, which generates batches of data [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-2153","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to load custom datasets in Keras? - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"In Keras, loading a custom dataset typically involves the following steps:Prepare the dataset: First, make sure to have your custom dataset\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/blog\/how-to-load-custom-datasets-in-keras\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to load custom datasets in Keras?\" \/>\n<meta property=\"og:description\" content=\"In Keras, loading a custom dataset typically involves the following steps:Prepare the dataset: First, make sure to have your custom dataset\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/blog\/how-to-load-custom-datasets-in-keras\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - Silicon Cloud\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/SiliCloudGlobal\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-03-12T09:18:22+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-08T15:17:48+00:00\" \/>\n<meta name=\"author\" content=\"Noah Thompson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@SiliCloudGlobal\" \/>\n<meta name=\"twitter:site\" content=\"@SiliCloudGlobal\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Noah Thompson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/how-to-load-custom-datasets-in-keras\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.silicloud.com\/blog\/how-to-load-custom-datasets-in-keras\/\"},\"author\":{\"name\":\"Noah Thompson\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/#\/schema\/person\/2e83cc6ab9f60d36921c2d0f9f280f4a\"},\"headline\":\"How to load custom datasets in Keras?\",\"datePublished\":\"2024-03-12T09:18:22+00:00\",\"dateModified\":\"2024-04-08T15:17:48+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.silicloud.com\/blog\/how-to-load-custom-datasets-in-keras\/\"},\"wordCount\":291,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.silicloud.com\/blog\/#organization\"},\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/how-to-load-custom-datasets-in-keras\/\",\"url\":\"https:\/\/www.silicloud.com\/blog\/how-to-load-custom-datasets-in-keras\/\",\"name\":\"How to load custom datasets in Keras? 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