<commit_before>.container-fluid
    .col-md-6
        h4 Overview
        p.
            ImageSpace is a DARPA Memex application for browsing large image
            collections based on image content (e.g. extracted text from the image,
            image content similarity) or metadata (e.g. EXIF camera identifier,
            image encoding).
        p.
            Return to these instructions
            at any time by clicking the ImageSpace text in the upper left.

        h4 Starting with text search
        p.
            Type search terms (phone number, email address, etc.) in the search box above and press Enter
            to search the text content of images and image attributes.

        h4 Starting with an image
        p.
           Note: For a complete set of supported image types see Tika's page on <a href="http://tika.apache.org/1.11/formats.html#Image_formats">supported document formats</a>. While
           those images can be analysed, only the following are officially supported via ImageSpace: JPEG, GIF, PNG, SVG, and BMP.
           Certain searches may only support a subset of such image types, for example SMQTK supports PNG, JPEG, and TIFF images.
        p.
            First, ensure you are logged in, or register for an account.
        p.
            Use the "Browse or drop image" button to the left to drag-and-drop an
            image or browse your computer for an image to upload.
            All uploaded images appear in the left panel and will reappear
            on subsequent login.
        p.
            Click the search icon <span class="icon-search"></span> below
            your image on the left to start an image similarity search.
            This will bring your image to the top bar and show other
            options for searching by that image. Some of the following
            options will appear based on attributes of the image.<commit_msg>Add notes to help with finding blur settings<commit_after>.container-fluid
    .col-md-6
        h4 Overview
        p.
            ImageSpace is a DARPA Memex application for browsing large image
            collections based on image content (e.g. extracted text from the image,
            image content similarity) or metadata (e.g. EXIF camera identifier,
            image encoding).
        p.
            Return to these instructions
            at any time by clicking the ImageSpace text in the upper left.

        h4 Viewing images
        p.
            Images are blurred by default, and hovering over them allows the user to view them clearly.
            In order to change the behavior of blurring, users can refer to
            the <a href="#page/settings">settings page</a>.

        h4 Starting with text search
        p.
            Type search terms (phone number, email address, etc.) in the search box above and press Enter
            to search the text content of images and image attributes.

        h4 Starting with an image
        p.
           Note: For a complete set of supported image types see Tika's page on <a href="http://tika.apache.org/1.11/formats.html#Image_formats">supported document formats</a>. While
           those images can be analysed, only the following are officially supported via ImageSpace: JPEG, GIF, PNG, SVG, and BMP.
           Certain searches may only support a subset of such image types, for example SMQTK supports PNG, JPEG, and TIFF images.
        p.
            First, ensure you are logged in, or register for an account.
        p.
            Use the "Browse or drop image" button to the left to drag-and-drop an
            image or browse your computer for an image to upload.
            All uploaded images appear in the left panel and will reappear
            on subsequent login.
        p.
            Click the search icon <span class="icon-search"></span> below
            your image on the left to start an image similarity search.
            This will bring your image to the top bar and show other
            options for searching by that image. Some of the following
            options will appear based on attributes of the image.
{'fraction_non_alphanumeric': 0.04517999516791495, 'fraction_numerical': 0.00362406378352259, 'mean_word_length': 2.062130177514793, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2133675', 'n_tokens_mistral': 987, 'n_tokens_neox': 949, 'n_words': 540}