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Computer Vision vs Custom Vision
updated 3 months ago
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<font style=”vertical-align: inherit;”><font style=”vertical-align: inherit;”>I don’t understand why in one question the correct answer is Computer Vision and in another question the correct answer is Custom Vision.</font></font>
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This discussion was modified 1 year, 6 months ago by
Evaristo R Rivieccio Vega.
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This discussion was modified 1 year, 6 months ago by
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Hello Evaristo,
Thank you for your question. The main difference between Computer Vision and Custom Vision lies in their use cases and customization options.
Computer Vision is a pre-built service that can perform general tasks like recognizing objects, reading text with Optical Character Recognition (OCR), detecting faces, and even understanding the structure of images without any training or customization. It’s perfect if you need immediate, out-of-the-box image analysis for common scenarios.
On the other hand, Custom Vision is designed for scenarios where you need a more tailored solution. With Custom Vision, you can train your own models using your specific images and categories. You upload and label your images, and the service learns to recognize the exact objects or categories relevant to your needs.
In short, if you need a general image analysis solution, Computer Vision is a great fit. But if you require a model that understands your unique image content, Custom Vision is the way to go. Let me know if you have more questions or need help with anything specific!
Regards,
Nikee @ Tutorials Dojo
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<font style=”vertical-align: inherit;”><font style=”vertical-align: inherit;”>I understand that. So what is so special about this question that you have to use Cusom Vision? Computer Vision could be used perfectly well, couldn’t it?</font></font>
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<font style=”vertical-align: inherit;”><font style=”vertical-align: inherit;”>I understand that. So what is so special about this question that you have to use Cusom Vision? Computer Vision could be used perfectly well, couldn’t it?</font></font>
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This reply was modified 1 year, 6 months ago by Evaristo R Rivieccio Vega.
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Hello Evaristo,
Thank you for your feedback. The correct answer is Custom Vision and not Computer Vision. Custom Vision is specifically designed for scenarios that require training a model to recognize and classify images based on unique characteristics defined by the user. In this case, the application needs to analyze and classify images of different plant species. Custom Vision allows developers to upload labeled images of various plant species, train a custom model, and continuously improve it with more data. This service provides the flexibility and customization necessary for distinguishing between similar-looking plant species, which is crucial for accurate classification in a botanical context.
While Computer Vision is a powerful service for analyzing images, it is designed for general image analysis tasks such as detecting objects, extracting text, or describing image content. It comes with pre-built models that recognize common objects and scenes but does not offer the customization needed for niche applications like plant species classification. Since Computer Vision cannot be trained with user-provided, species-specific datasets, it would not be suitable for an application that requires identifying and classifying different types of plants accurately.
Hope this clears up any confusion. If you need any assistance, please don’t hesitate to contact us.
Regards,
Nikee @ Tutorials Dojo
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This reply was modified 1 year, 6 months ago by
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<strong data-start=”123″ data-end=”142″>Computer Vision is the broader field of AI that enables machines to interpret and process visual data from the world like images, videos, or real-time feeds. It includes tasks such as object detection, facial recognition, image classification, and scene understanding. Businesses use computer vision to automate processes, improve accuracy, and gain actionable insights from visual data.
<strong data-start=”518″ data-end=”535″>Custom Vision, on the other hand, is a more specialized approach. It allows organizations to train AI models specifically for their unique datasets or business needs. Instead of using general-purpose vision models, custom vision focuses on tailored solutions for tasks such as identifying proprietary products, monitoring specific equipment, or detecting niche anomalies.
If your business wants to implement these solutions effectively, <strong data-start=”962″ data-end=”1002″>computer vision development services can help. These services provide end-to-end support from assessing business requirements and preparing datasets to developing, deploying, and optimizing custom AI models. Partnering with experts ensures that both general computer vision and custom vision solutions are scalable, accurate, and deliver measurable results. https://appinventiv.com/computer-vision-development-services/
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