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Hello Karan,
Thank you for taking the time to share your thoughtful feedback. We sincerely appreciate your attention to detail and understand how some questions may appear unclear or potentially misleading.
Regarding your comments:
We’ve reviewed and updated the first question you referenced to align with the correct answer. If you’re still encountering issues, please feel free to share the latest screenshots or details, and we’d be happy to re-investigate.
On your statement, “You upload the images and use the Smart Labeler tool to automatically tag and label the images before retraining the model. Does this process effectively update the classifier with the new species images?” Correct Answer: No.
We understand how this question can seem misleading at first glance, especially since it mentions both labeling and retraining. However, the key detail lies in how the process is structured and what is explicitly done in the scenario.
The Smart Labeler tool helps automate tagging and labeling based on previously trained data, significantly streamlining the data preparation phase. However, simply labeling the images—even with retraining mentioned afterward—does not guarantee that the classifier has been updated unless the model retraining is actually performed using the newly labeled data.
The question’s phrasing focuses on whether this entire process effectively updates the classifier. Since labeling and retraining are not necessarily executed together automatically, the correct answer is “No”—manual intervention to initiate retraining is still required after labeling.
We hope this clarification helps! Please continue to share any areas where things seem unclear—we’re always working to improve the learning experience.
Regards,
Nikee @ Tutorials Dojo
