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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
