Viewing profile — elandau25
elandau25
HN member- Joined
- Tue, Sep 08, 2020, 4:07 PM UTC
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About elandau25
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Recent public activity
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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 …
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Comment #39208721
Thank you! It was great working with you and your team as well :)
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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…
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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…
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Comment #28085724
Thanks! I might do a follow-up article on the topic and will think about how to incorporate this in!
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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…
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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…
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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…
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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(…
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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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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…
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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…
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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…
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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…
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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…
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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…
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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…
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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 …