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The quick answer: yes you can, just add images without labels, just make sure that in the negative samples there are no cars or you will make the AI crazy (i.e. convergence & instability issues). However that might not be the better approach to go. Why? Because your dataset already have enough negative examples. This was pointed out by the famous paper ...


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These two terms could easily refer to the same thing, depending on the context. For example, a lazy person could easily say something like this We compute the loss/error between the prediction (of the model) and the ground truth. Here, the ground-truth refers to the "officially correct" label (categorical or numerical) for a given input with ...


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Ground Truth 'Ground truth' is that data or information that you have that is 'true' or assumed to be true. That means that you have high or perfect knowledge of what it is. For example, in your image of numbers, you know that the first row are zeros, the second row are ones, the third are twos, and so on. You have 10 rows of data, each row is of a ...


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