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by luguenth
1908 days ago
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What would be the advantage to train a model on the whole dataset, you would be running it against later? Wouldn't that overfit the network? And for the cheating part; geoGuessr actually exposes the right answer in their API. You you could just use that to pinpoint the exact location automated. |
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The opposite, it would almost be cheating since the model would just have memorized all the correct solutions. You'd usually want to train on a subset of the data and evaluate against the remainder to protect against overfitting. So to that point I agree with your evaluation. But after that you'd use it with real data in the wild for your actual use case. With geogussr you'd know already what all the "real-world" situations are and overfitting wouldn't matter as long as you retrain wherever they add new sets.