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The computer vision problem that you are describing is object detection, i.e. the problem of finding the location of specific objects in an image and label them correctly with their names. There are many resources on the web (or in books) that describe this problem more in detail and examples (which also include code) to get you started with it (e.g. this ...


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Yes, theoretically it is possible to learn the offsets to get any possible bounding box from only one anchor box. However, it is hard to learn such dramatic shifts and changes. Learning only small offsets from the prior is easier and tends to converge better. In specific applications however, one might already know the typical size and ratio of objects, and ...


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I think there's a crucial point missed in the question, touched by jros answer but without further elaboration. If you train a model on domain A: single lightning condition and test it on domain B: two lightning condition then you're not evaluating generalization but transfer learning capabilities. Or to phrase it differently you're evaluating how close ...


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Generalization In machine learning, generalization describes a model's ability to properly correct its algorithms to predict new data from the same distribution as the data used to train the model. By providing additional training for your model (on data with varying lighting conditions), you are correct that you would be increasing the capabilities of your ...


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I'd argue that the legality depends strongly on how you access the data, and that automating this may put you in breach of facebook/instagram's terms of use for their data. It's not that accessing a set of images wouldn't count as fair use, it's that automatically scraping them probably breaches the terms of service. The most likely consequence, though, is ...


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Under US copyright law, this is probably fair use ...but beware of memorization. You may run into more trouble if the AI outputs things very similar to the original work. Also, consult a lawyer to help you apply the law to your specific situation. This is just information on general legal principles, not any specific situation, and also I'm not a lawyer. ...


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Disclaimer that every attorney will give unless formally engaged: This does not constitute formal legal advice. This data was published with the expectation of public view Viewing that data is a form of utilization—taking in information which may be used to make a decision, or just as divertment (here consumption of entertainment media by humans.) If any ...


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