Image analytics documentation, samples, internalization #2372

sfilipi · 2019-02-01T18:59:50Z

Addressing both:

#1209 in the first commit by adding samples, and documenting the classes and the extensions better.
#1798 in the second commit by:
1- Internalizing constructors of estimators and transformers
2- Keep ColumnInfo and move it to to the estimators #1760
3- Rename Arguments -> Options

Ivanidzo4ka · 2019-02-01T19:12:35Z

docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ResizeImage.cs

+            var imagesFolder = Path.GetDirectoryName(imagesDataFile);
+            // Image loading pipeline. 
+            var pipeline = mlContext.Transforms.LoadImages(imagesFolder, ("ImageReal", "ImagePath"))
+                        .Append(mlContext.Transforms.Resize());


mlContext.Transforms.Resize() [](start = 32, length = 29)

First, I'm offended what I'm not even invited to review this PR! -_-
How Resize() work without specifying column name? And without new image dimensions? #Closed

Ivanidzo4ka · 2019-02-01T19:14:45Z

docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ExtractPixels.cs

+            // Image loading pipeline. 
+            var pipeline = mlContext.Transforms.LoadImages(imagesFolder, ("ImageObject", "ImagePath"))
+                          .Append(mlContext.Transforms.Resize("ImageObject",imageWidth: 100 , imageHeight: 100 ))
+                          .Append(mlContext.Transforms.ExtractPixels("Pixels", "ImageObject"));


Transforms [](start = 44, length = 10)

Considering specificity of domain, can we have Image subcatalog, like we have ml.Transforms.Text, can we have ml.Transforms.Images ?

i might misremember, but Pete disliked the idea; i believe becuase of too many catalogs makes things hard to find; but @artidoro and @rogancarr have expressed the same thing: issue #2361

If i get another thumbs up from @TomFinley, i am up for adding the catalog and moving the extensions there.

I am on the fence, personally. If we have more than 5 xtensions, i'd make a catalog for them. Less than that feels unecessary.

In reply to: 253166949 [](ancestors = 253166949)

Ivanidzo4ka · 2019-02-01T19:20:29Z

docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ConvertToGrayScale.cs

+{
+    public class ConvertToGrayScaleExample
+    {
+        public static void ConvertToGrayScale()


GrayScale [](start = 36, length = 9)

why GrayScale? is'nt grayscale one word? #Closed

Ivanidzo4ka · 2019-02-01T19:22:12Z

docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ConvertToGrayScale.cs

+            // Preview of the content of the images.tsv file
+            //
+            // imagePath    imageType
+            // tomato.bmp	tomato


[](start = 25, length = 1)

is this a tab?
don't you build file manually? #Closed

Ivanidzo4ka · 2019-02-01T19:25:12Z

src/Microsoft.ML.ImageAnalytics/doc.xml

+        Loads the images from a given folder into memory as an <see cref="ImageType"/>
+      </summary>
+      <remarks>
+        The images to load are present in the folder specfied as imageFolder. The get loaded in memory as a <see cref="System.Drawing.Bitmap" /> type. 


The get [](start = 78, length = 7)

They get? #Closed

Ivanidzo4ka · 2019-02-01T19:28:25Z

src/Microsoft.ML.ImageAnalytics/ExtensionsCatalog.cs

-        /// <summary>
-        /// Converts the images to grayscale.
-        /// </summary>
+        /// <include file='doc.xml' path='doc/members/member[@name="ImageLoadingEstimator"]/*' />


ImageLoadingEstimator [](start = 68, length = 21)

ImageGrayscalingEstimator? #Closed

Ivanidzo4ka · 2019-02-01T19:38:06Z

src/Microsoft.ML.ImageAnalytics/ExtensionsCatalog.cs

+        /// <param name="outputColumnName"> Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
+        /// <param name="inputColumnName"> Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
+        /// <param name="colors">The color schema as defined in <see cref="ImagePixelExtractingEstimator.ColorBits"/>.</param>
+        /// <param name="interleave">Wheather to interleave the pixels, meaning keep them in the `ARGB ARGB` order, or leave them separated in the plannar form.</param>


plannar [](start = 147, length = 7)

planar.
I still find this description confusing. Best I can come up with is : if set to false we will produce array where first we output values for first channel for all pixel then for second channel and so on, if set to true we will output values for pixels in channel tuples. But it's still probably confusing.

hmm, @rogancarr how would you phrase this?

In reply to: 253174751 [](ancestors = 253174751)

Ivanidzo4ka · 2019-02-01T19:41:02Z

src/Microsoft.ML.ImageAnalytics/ExtensionsCatalog.cs

+        /// <param name="catalog"> The transform's catalog.</param>
+        /// <param name="outputColumnName"> Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
+        /// <param name="inputColumnName"> Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
+        /// <param name="colors">The color schema as defined in <see cref="ImagePixelExtractingEstimator.ColorBits"/>.</param>


The color schema as defined in . [](start = 33, length = 85)

Specifies which colors to extract from image. Order of colors is always Alpha, Red, Green Blue. #Closed

justinormont · 2019-02-01T21:55:03Z

docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ExtractPixels.cs

+            // Image loading pipeline. 
+            var pipeline = mlContext.Transforms.LoadImages(imagesFolder, ("ImageObject", "ImagePath"))
+                          .Append(mlContext.Transforms.Resize("ImageObject",imageWidth: 100 , imageHeight: 100 ))
+                          .Append(mlContext.Transforms.ExtractPixels("Pixels", "ImageObject"));


@Anipik: We could make a good benchmark for the image processing pipeline.
I'd recommend using the Dog Breeds vs. Fruits dataset which we used in NimbusML for its image examples. We currently host this dataset in our CDN for NimbusML.

In Python, the dataset / image loader looks like:

# Load image summary data from github url = "https://express-tlcresources.azureedge.net/datasets/DogBreedsVsFruits/DogFruitWiki.SHUF.117KB.735-rows.tsv" df_train = pd.read_csv(url, sep = "\t", nrows = 100) df_train['ImagePath_full'] = "https://express-tlcresources.azureedge.net/datasets/DogBreedsVsFruits/" + \ df_train['ImagePath'] ... load images

Purpose of the dataset is for example code & includes ~775 images of dogs & fruit:

The Dog Breeds vs. Fruits would also be nice for our samples repo.

/cc @CESARDELATORRE #Resolved

@jormont, maybe log an issue about it. It might get forgotten here as a comment.

In reply to: 253212682 [](ancestors = 253212682)

@sfilipi -- good idea:

Benchmark: Image Classification Benchmark #2379

Sample: Create Image Classification/Clustering Sample w/ DnnImageFeaturizerTransform machinelearning-samples#225 #Resolved

Ivanidzo4ka · 2019-02-02T00:46:46Z

src/Microsoft.ML.ImageAnalytics/ImageGrayscale.cs

-    /// Converts the images to grayscale.
-    /// </summary>
+    /// <include file='doc.xml' path='doc/members/member[@name="ImageGrayscalingEstimator"]/*' />
+    [BestFriend]


BestFriend [](start = 5, length = 10)

Why BestFriend, it's still public #Resolved

meant to put it on the ctor; typo.

In reply to: 253242420 [](ancestors = 253242420)

Ivanidzo4ka · 2019-02-02T00:48:48Z

src/Microsoft.ML.ImageAnalytics/ImagePixelExtractor.cs

@@ -433,7 +267,7 @@ public override void Save(ModelSaveContext ctx)

            base.SaveColumns(ctx);

-            foreach (ColumnInfo info in _columns)
+            foreach (ImagePixelExtractingEstimator.ColumnInfo info in _columns)


ImagePixelExtractingEstimator.ColumnInfo [](start = 21, length = 40)

var? #Resolved

Ivanidzo4ka · 2019-02-02T00:55:17Z

src/Microsoft.ML.ImageAnalytics/ImagePixelExtractor.cs

+            public readonly bool AsFloat;
+
+            internal readonly byte Planes;
+            public bool Alpha => (Colors & ColorBits.Alpha) != 0;


public [](start = 12, length = 6)

all other channels are internal #Resolved

Ivanidzo4ka · 2019-02-02T00:55:53Z

src/Microsoft.ML.ImageAnalytics/ImagePixelExtractor.cs

+                Interleave = ctx.Reader.ReadBoolByte();
+            }
+
+            public void Save(ModelSaveContext ctx)


public [](start = 12, length = 6)

should be internal #Pending

can't change it atm, as it is public in the interface. Artidoro opened an issue about it.

In reply to: 253243474 [](ancestors = 253243474)

Ivanidzo4ka · 2019-02-02T00:56:50Z

src/Microsoft.ML.ImageAnalytics/ImageResizer.cs

-[assembly: LoadableClass(typeof(IRowMapper), typeof(ImageResizerTransformer), null, typeof(SignatureLoadRowMapper),
-    ImageResizerTransformer.UserName, ImageResizerTransformer.LoaderSignature)]
+[assembly: LoadableClass(typeof(IRowMapper), typeof(ImageResizingTransformer), null, typeof(SignatureLoadRowMapper),
+    ImageResizingTransformer.UserName, ImageResizingTransformer.LoaderSignature)]

 namespace Microsoft.ML.ImageAnalytics
 {
    // REVIEW: Rewrite as LambdaTransform to simplify.
    /// <summary>
    /// Transform which takes one or many columns of <see cref="ImageType"/> and resize them to provided height and width.
    /// </summary>


/// ? #Resolved

Ivanidzo4ka · 2019-02-02T00:57:55Z

src/Microsoft.ML.ImageAnalytics/ImageResizer.cs

@@ -456,8 +401,97 @@ protected override Delegate MakeGetter(Row input, int iinfo, Func<int, bool> act
    /// <summary>
    /// Estimator which resizes images.
    /// </summary>


/// ? #Resolved

Ivanidzo4ka · 2019-02-02T00:59:49Z

    public override SchemaShape GetOutputSchema(SchemaShape inputSchema)

I think @artidoro has tendency to add

        /// <summary>
        /// Returns the <see cref="SchemaShape"/> of the schema which will be produced by the transformer.
        /// Used for schema propagation and verification in a pipeline.
        /// </summary>
``` #Resolved

---
Refers to: src/Microsoft.ML.ImageAnalytics/ImageResizerTransform.cs:531 in 18f1822. [](commit_id = 18f1822c9be0e6de8141d26f51b26edfbb2f14a7, deletion_comment = False)

Ivanidzo4ka · 2019-02-02T01:01:46Z

src/Microsoft.ML.ImageAnalytics/Properties/AssemblyInfo.cs

@@ -6,5 +6,6 @@
 using Microsoft.ML;

 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.StaticPipe" + PublicKey.Value)]
+[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Tests" + PublicKey.TestValue)]


#2306
Maybe we should convert all direct calls to estimators/transformers to calls to mlContext extensions?
feel free to ignore. #Pending

are we doing that now, or post V1? i agree, but might make more sense to spend the time in other things and do this later.

In reply to: 253244221 [](ancestors = 253244221)

Ivanidzo4ka

singlis · 2019-02-04T19:33:48Z

src/Microsoft.ML.ImageAnalytics/doc.xml

+        Loading the images in memory is the first step of almost every pipeline that does image processing, and further analysis on images. 
+        The images to load need to be in the formats supported by <see cref="System.Drawing.Bitmap" />.
+
+        For end-to-end image processing pipelines, and scenarios in your applications, see the


remove comment - For end-to-end image processing pipelines and scenarios in your application, see the...

why?

In reply to: 253612929 [](ancestors = 253612929)

singlis · 2019-02-04T19:35:30Z

src/Microsoft.ML.ImageAnalytics/doc.xml

+
+    <member name="ImagePixelExtractingEstimator">
+      <summary>
+        Extracts the pixels from the input images and, converts them into a vector of numbers, than can be further used as feature by the algorithms added to the pipeline.   


remove comment - Extracts the pixels from the input images and converts them into a vector of numbers.
Also rather "than can be further", I would say "This can be further used as a ..." #Resolved

singlis · 2019-02-04T19:36:07Z

src/Microsoft.ML.ImageAnalytics/doc.xml

+        Extracts the pixels from the input images and, converts them into a vector of numbers, than can be further used as feature by the algorithms added to the pipeline.   
+      </summary>
+      <remarks>
+        The ImagePixelExtractingEstimator extracts the pixels from the input images and, converts them into a vector of numbers,


Same comment here about comments and "This can be further..." #Resolved

singlis · 2019-02-04T19:40:00Z

src/Microsoft.ML.ImageAnalytics/ExtensionsCatalog.cs

+        /// <example>
+        /// <format type="text/markdown">
+        /// <![CDATA[
+        ///  [!code-csharp[ConvertToGrayscale](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ConvertToGrayscale.cs)]


So the file is called ConvertToGrayScale.cs - does casing matter? Should ConvertToGrayScale.cs be renamed? #Resolved

singlis · 2019-02-04T19:43:01Z

src/Microsoft.ML.ImageAnalytics/ExtensionsCatalog.cs

+        /// <param name="catalog"> The transform's catalog.</param>
+        /// <param name="outputColumnName"> Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
+        /// <param name="inputColumnName"> Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
+        /// <param name="colors"> Specifies which colors to extract from the image. The order of colors is: Alpha, Red, Green Blue.</param>


colors [](start = 25, length = 6)

This looks like an enum. Is there an enum cref? #Resolved

singlis · 2019-02-04T19:47:27Z

src/Microsoft.ML.ImageAnalytics/ExtensionsCatalog.cs

+        /// <param name="outputColumnName"> Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
+        /// <param name="inputColumnName"> Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
+        /// <param name="colors"> Specifies which colors to extract from the image. The order of colors is: Alpha, Red, Green Blue.</param>
+        /// <param name="interleave">Wheather to interleave the pixels, meaning keep them in the `ARGB ARGB` order, or leave them separated in the planar form.</param>


planar [](start = 147, length = 6)

What is planar form? Is there some context that should already be known by the reader? If not, is it worth talking about this in the remarks section? Or maybe having just some more verbage in this description? #Resolved

zeahmed · 2019-02-04T19:59:56Z

docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ConvertToGrayScale.cs

+            //Preview of the transformedData
+            var transformedDataPreview = transformedData.Preview();
+
+            // Preview of the content of the images.tsv file


Preview of the content of the images.tsv file [](start = 15, length = 45)

The output shown below is not the contents of images.tsv file instead its transformedData. #Resolved

singlis · 2019-02-04T20:14:56Z

src/Microsoft.ML.ImageAnalytics/ExtensionsCatalog.cs

+            string outputColumnName,
+            string inputColumnName = null,
+            ImagePixelExtractingEstimator.ColorBits colors = ImagePixelExtractingEstimator.ColorBits.Rgb,
+            bool interleave = false, float scale = ImagePixelExtractingTransformer.Defaults.Scale,


nit, I would put scale on a separate line #Resolved

zeahmed · 2019-02-04T21:55:46Z

docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ExtractPixels.cs

+            var transformedDataPreview = transformedData.Preview();
+
+            // Preview of the content of the images.tsv file
+            // The actual images, in the ImageReal column are of type System.Drawing.Bitmap.


ImageReal [](start = 41, length = 9)

typo #Resolved

zeahmed · 2019-02-04T21:55:56Z

docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ConvertToGrayScale.cs

+            var transformedDataPreview = transformedData.Preview();
+
+            // Preview of the content of the images.tsv file
+            // The actual images, in the ImageReal column are of type System.Drawing.Bitmap.


ImageReal [](start = 41, length = 9)

typo #Resolved

singlis · 2019-02-04T22:49:56Z

src/Microsoft.ML.ImageAnalytics/ExtensionsCatalog.cs

+        /// Those pre-trained models have a defined width and height for their input images, so often, after getting loaded, the images will need to get resized before
+        /// further processing.
+        /// The new width and height, as well as other properties of resizing, like type of scaling (uniform, or non-uniform), and whether to pad the image,
+        /// or just crop it can be specidied separately for each column loaded, through the <see cref="ImageResizingEstimator.ColumnInfo"/>.


specidied [](start = 35, length = 9)

specified #Resolved

singlis · 2019-02-04T22:50:45Z

src/Microsoft.ML.ImageAnalytics/ExtensionsCatalog.cs

+        /// <example>
+        /// <format type="text/markdown">
+        /// <![CDATA[
+        ///  [!code-csharp[ConvertToGrayscale](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ResizeImage.cs)]


Resize? #Resolved

singlis · 2019-02-04T23:00:25Z

src/Microsoft.ML.ImageAnalytics/ImagePixelExtractor.cs

    /// </summary>
-    public sealed class ImagePixelExtractorTransformer : OneToOneTransformerBase
+    /// <remarks>
+    ///  During the transformation, the columns of <see cref="ImageType"/> are converted them into a vector representign the image pixels


representign [](start = 108, length = 12)

representing #Resolved

singlis · 2019-02-04T23:06:44Z

src/Microsoft.ML.ImageAnalytics/ImagePixelExtractor.cs

+            /// <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
+            /// <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
+            /// <param name="colors">What colors to extract.</param>
+            /// <param name="interleave">Wheather to interleave the pixels, meaning keep them in the `RGB RGB` order, or leave them in the plannar form: of all red pixels,


Whether #Resolved

singlis · 2019-02-04T23:07:10Z

src/Microsoft.ML.ImageAnalytics/ImagePixelExtractor.cs

+            /// <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
+            /// <param name="colors">What colors to extract.</param>
+            /// <param name="interleave">Wheather to interleave the pixels, meaning keep them in the `RGB RGB` order, or leave them in the plannar form: of all red pixels,
+            /// than all green, than all blue.</param>


then all green, then all blue #Resolved

singlis · 2019-02-04T23:08:22Z

src/Microsoft.ML.ImageAnalytics/ImagePixelExtractor.cs

        ///<summary>
        /// Extract pixels values from image and produce array of values.
        ///</summary>
        /// <param name="env">The host environment.</param>
        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>. Null means <paramref name="inputColumnName"/> is replaced.</param>
        /// <param name="inputColumnName">Name of the input column.</param>
        /// <param name="colors">What colors to extract.</param>
-        /// <param name="interleave"></param>
+        /// <param name="interleave">Wheather to interleave the pixels, meaning keep them in the `RGB RGB` order, or leave them in the plannar form: of all red pixels,


Wheather [](start = 37, length = 8)

Whether
then all green, then all blue #Resolved

singlis

singlis

shmoradims · 2019-02-05T00:23:25Z

src/Microsoft.ML.ImageAnalytics/doc.xml

+          a technique known as <a href="http://www.stat.harvard.edu/Faculty_Content/meng/JCGS01.pdf"> data augmentation</a>.
+
+          For end-to-end image processing pipelines, and scenarios in your applications, see the 
+          <a href="https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started">examples in the machinelearning-samples github repository.</a>


<a href="https://github.com/dotnet/ [](start = 10, length = 35)

this is xml style. you're in a markdown block. would this work? #Pending

yes, the tag it's html. I mostly added this here to have an example in the solution of doing markdown in a document.

In reply to: 253699067 [](ancestors = 253699067)

If it's in markdown, would a normal markdown link work?

Suggested change

<a href="https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started">examples in the machinelearning-samples github repository.</a>

[examples in the machinelearning-samples github repository](https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started).

Also, the period could be outside the href:

Suggested change

<a href="https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started">examples in the machinelearning-samples github repository.</a>

<a href="https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started">examples in the machinelearning-samples github repository</a>.

``` #Resolved

shmoradims · 2019-02-05T00:29:37Z

src/Microsoft.ML.ImageAnalytics/doc.xml

+          <a href="https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started">examples in the machinelearning-samples github repository.</a>
+        ]]></format>
+        <seealso cref="ImageEstimatorsCatalog" />
+        <seealso cref="ImageLoadingEstimator"/>


we should discuss these. please see my comments in Teams.

justinormont · 2019-02-05T08:23:57Z

src/Microsoft.ML.ImageAnalytics/doc.xml

+          The images might be converted to grayscale to reduce the complexity of the model.
+          The grayed out images contain less information to process than the colored images.
+          Another use case for converting to grayscale is to generate new images out of the existing ones, so you can have a larger dataset,
+          a technique known as <a href="http://www.stat.harvard.edu/Faculty_Content/meng/JCGS01.pdf"> data augmentation</a>.


Suggested change

a technique known as <a href="http://www.stat.harvard.edu/Faculty_Content/meng/JCGS01.pdf"> data augmentation</a>.

a technique known as <a href="http://www.stat.harvard.edu/Faculty_Content/meng/JCGS01.pdf">data augmentation</a>.

``` #Resolved

justinormont · 2019-02-05T08:30:43Z

docs/samples/Microsoft.ML.Samples/Dynamic/ImageAnalytics/ExtractPixels.cs

+            var imagesFolder = Path.GetDirectoryName(imagesDataFile);
+            // Image loading pipeline. 
+            var pipeline = mlContext.Transforms.LoadImages(imagesFolder, ("ImageObject", "ImagePath"))
+                        //  .Append(mlContext.Transforms.Resize("ImageObject",imageWidth: 100 , imageHeight: 100 ))


Extra commented out line. #Resolved

codecov · 2019-02-05T18:41:10Z

Codecov Report

Merging #2372 into master will increase coverage by <.01%.
The diff coverage is 75.93%.

@@            Coverage Diff             @@
##           master    #2372      +/-   ##
==========================================
+ Coverage   71.25%   71.25%   +<.01%     
==========================================
  Files         783      785       +2     
  Lines      140781   140885     +104     
  Branches    16088    16103      +15     
==========================================
+ Hits       100311   100388      +77     
- Misses      36016    36032      +16     
- Partials     4454     4465      +11

Flag	Coverage Δ
#Debug	`71.25% <75.93%> (ø)`	⬆️
#production	`67.61% <73.46%> (ø)`	⬆️
#test	`85.3% <86.66%> (ø)`	⬆️

sfilipi requested review from singlis, shmoradims, rogancarr, abgoswam, zeahmed and TomFinley February 1, 2019 19:00

sfilipi self-assigned this Feb 1, 2019

sfilipi added API Issues pertaining the friendly API documentation Related to documentation of ML.NET labels Feb 1, 2019

sfilipi force-pushed the imageAnalytics branch from 958d05a to 6fe57a6 Compare February 1, 2019 19:09

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This was referenced Feb 1, 2019

Image Classification Benchmark #2379

Open

Create Image Classification/Clustering Sample w/ DnnImageFeaturizerTransform dotnet/machinelearning-samples#225

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sfilipi added 2 commits February 5, 2019 09:36

nit

70fa0db

regenerating the catalog.

7f0ab4f

sfilipi merged commit 410a296 into dotnet:master Feb 5, 2019

sfilipi deleted the imageAnalytics branch February 5, 2019 18:34

yaeldekel mentioned this pull request Feb 7, 2019

Lockdown Microsoft.ML.ImageAnalytics public surface #2269

Closed

ghost locked as resolved and limited conversation to collaborators Mar 24, 2022

	<a href="https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started">examples in the machinelearning-samples github repository.</a>
	[examples in the machinelearning-samples github repository](https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started).

	<a href="https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started">examples in the machinelearning-samples github repository.</a>
	<a href="https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started">examples in the machinelearning-samples github repository</a>.
	``` #Resolved

	a technique known as <a href="http://www.stat.harvard.edu/Faculty_Content/meng/JCGS01.pdf"> data augmentation</a>.
	a technique known as <a href="http://www.stat.harvard.edu/Faculty_Content/meng/JCGS01.pdf">data augmentation</a>.
	``` #Resolved

Image analytics documentation, samples, internalization #2372

Image analytics documentation, samples, internalization #2372

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