Have you ever heard about image recognition? How can you choose the right image recognition tool that is helpful for you?
If you are new to this, keep on reading to know more.
What is Image Recognition?
Image recognition is the computer’s ability to see the world as you would use yours. But of course, not is the same way we see the world.
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This is by the creation of a neural network. Then, it will be the one to process and analyze the pixels that make up an image.
Then, these networks get presented with lots of images of objects. These are already identified. And the network will learn to spot similar objects.
For example, the AI gets shown a bunch of images of hats. So, it would then learn what makes up a hat. If you show it an image of a cat, the AI will compare all its pixels to the pixels of hats it saw.
Then, when it finds out little to no similarities, it can spot the image as a cat.
Today, there are a lot of sectors that are getting the full benefit of image recognition. And that is most true for the e-commerce sector.
One sample of this is price comparison. You may have taken a photo of that nice bag your friend had. You can then use an image recognition tool like the Google Shopper.
So, you only need to pull up that photo and show it to the tool. Then, you can find out how many are nearby stores are selling that bag and for how much.
Thus, making it easier for you to look for the best deal without the need to go around. Also, it is a win-win for e-commerce stores.
Many are now seeing a rise in their GMV with the help of these tools. Or their Gross Merchandise Value.
But today, there are many image recognition tools around. So, how do you choose the right tool that can be helpful?
How to Choose the Right Image Recognition Tool
To choose the most helpful tool, you can consider these points:
- Search for any logo. A good tool should be able to spot a lot of logos. This can be hard because some tools only recognize a limited number of logos.
- Spot small parts of an object. Another point is being able to detect small parts of an object. For example, some parts of a logo may be covered or it can be tiny. Can the tool still able to identify it?
- Speed in giving result. Speed is also vital. Some tools may take a long time to give you the results you need. So, use the one that can give you what you need the fastest.
- False-positive rate. A false-positive rate is when the tool detects a wrong object in an image. So, choose the one that has a lower false-positive result.
Conclusion
Yes, image recognition might not be able to overthrow text search very soon. But it has a lot of potentials. Have you tried using one?
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