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elandau25

HN member
Joined
Tue, Sep 08, 2020, 4:07 PM UTC
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18
Public activity
31 items

About elandau25

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Recent public activity

  1. comment
    Comment #39210657

    Good question! We are focused on vision at the moment, but we are indeed looking at text in the future. Happy to connect and have a chat around that if you are open as we would be …

  2. comment
    Comment #39208721

    Thank you! It was great working with you and your team as well :)

  3. comment
    Comment #39208712

    Thanks Kyle, appreciate it! Has been very nice collaborating with you!

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    Comment #34903139

    Hello! I wrote the article so happy to answer this. It is partially feature engineering but partially not. It’s essentially using feature engineering to curate/correct a dataset, b…

  6. comment
    Comment #28086220

    It is important to note that these micro-models are only supposed to be used in the annotation process. During annotation there is a separate process for QA where there will be som…

  7. comment
    Comment #28085724

    Thanks! I might do a follow-up article on the topic and will think about how to incorporate this in!

  8. comment
    Comment #28085711

    That's a good idea. It will likely be trickier to apply a method like this for text. Decomposition of the problem is less obvious than with vision tasks.

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    Comment #28085426

    Fair enough, but target data in this sense IS a full distribution of Batmen. This approach is towards the goal of creating a broad dataset and fitting a full Batman model. We are t…

  10. comment
    Comment #28084785

    If we are taking wikipedia as ground truth, the next line is: An overfitted model is a statistical model that contains more parameters than can be justified by the data. Another de…

  11. comment
    Comment #28084703

    I see what you are saying, but in that context then you lose what most people's intuitive definition of overfitting is. If I train a model on one image as my train set and then cha…

  12. comment
    Comment #28084616

    Thanks! You have the application correct, but there are many ways by which we use this. An example is if you have trying to build models that require sequentially annotated images(…

  13. comment
    Comment #28084367

    Hi everyone, I wrote the article. I do consider this overfitting because we are training on these frames way more time than would be normally advised for the size of the training s…

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  16. comment
    Comment #26115942

    Great question. Superb AI also seems like a great tool. I’m not sure if they have video annotation though. We are different from them in a bunch of ways, but the biggest one is tha…

  17. comment
    Comment #26115459

    Thank you! We think Hasty is a pretty neat tool, I am just not sure they have annotation for video datasets? Our platform is really optimized for video and sequential image. A GI r…

  18. comment
    Comment #26106747

    You can do either! We offer a bunch of automation features directly through the Web App but people have also used the SDK to write their own algorithms. We have seen a lot of diffe…

  19. comment
    Comment #26106639

    As far as I can tell Roboflow is more focused on being an end to end platform for AI. The customers we work with generally want to retain more control over their model building pro…

  20. comment
    Comment #26104726

    Hi Eric from Cord here. Scale is a great company and they have done really well in AV especially. The issue with them is that they require you to send your data overseas to be anno…

  21. comment
    Comment #26019549

    Thank you!

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    Comment #25835885

    I hear you, but I don't even think the labor intensiveness is a lost cause here. Labor intensiveness in mining insights from a dataset is worth way more than labor intensiveness in…

  24. comment
    Comment #25830385

    Hi Sriku, with regards to your first point, not necessarily. I mentioned in another comment, but the model you are using the labels to build and the labelling process are related b…

  25. comment
    Comment #25828794

    Feature extraction from a pre-trained model? Sure, again depends how you use it. We have used feature extraction + clustering for some of these labelling tasks successfully in the …