How do I label my photos?

Right click on the picture and go to Size and Position. Select Text Wrapping. I usually use In line with text to put a label at the top or the bottom….

1. Click the picture you want to add a caption to.
2. Click References > Insert Caption.
3. To use the default label (Figure), type your caption in the Caption box.

How do you store labeled data?

Store the raw text of labeled data (practice redundancy). To be safe, always store the raw text of your labeled data. For example, if you have a sentence within an article that is representative of data you want to label, make sure you store the raw text of that sentence and the label.

How do I create a data set of pictures?

Procedure

1. From the cluster management console, select Workload > Spark > Deep Learning.
2. Select the Datasets tab.
3. Click New.
4. Create a dataset from Images for Object Classification.
5. Provide a dataset name.
6. Specify a Spark instance group.
7. Specify image storage format, either LMDB for Caffe or TFRecords for TensorFlow.

How do you annotate an image?

For annotating an object, simply hover over the object in the selected image, click and drag to create a rectangular box of the intended size. After creating the bounding box, a new entry is added under Bounding Box column on the right. Click to select desired label for the object.

How do I add alt text to my images?

To add alt text to a picture, shape, chart, or SmartArt graphic, right-click on the object and choose Format Picture. In the Format Picture panel, choose the Layout and Properties icon. Then choose Alt Text. Add a title for your object, then a description.

What is labeled training dataset?

Labeled data is a designation for pieces of data that have been tagged with one or more labels identifying certain properties or characteristics, or classifications or contained objects. Labels make that data specifically useful in certain types of machine learning known as supervised machine learning setups.

How do you collect image data for deep learning?

And, in the deep learning era, data is very well arguably your most valuable resource….A simple way to collect your deep learning image dataset

1. Support file type filters.
2. Support Bing.com filterui filters.
3. Download using multithreading and custom thread pool size.
4. Support purely obtaining the image URLs.