New search-by-image method on Bing.com
searchresearch1.blogspot.com
searchresearch1.blogspot.com
I really want a Google alternative. Maybe I'll try Bing again, too.
They also seem to be voluntarily registered with the Dutch data protection agency that verifies this.
However none of this will matter to you if you don't a basic level of trust in what an online service states in their TOS/Privacy Policy etc
Regarding the results, after a few years, I found that it's not that DDG is worse then Google -- but it's that I was conditioned on how to optimize Google's results. I believe it's because no search engine uses natural language, instead it's language that we think is natural but our brains have optimized for the engine.
Once I came to that realization, I started optimizing my search for DDG just as I had done for Google.
Yeah I do this as a DDG user. I'm not even sure the google search is adding any value but I end up doing it "just in case".
I would like a way to get two columns of results for each search - one for DDG and one for Google, so that I can compare the two. It might wean me off doing the second search because I can finally resolve whether it's worth it or not.
edit: also see https://www.makeuseof.com/tag/10-websites-to-compare-google-...
If you are not in the US- it's not good... I have had bad results being abroad. Wish they would step up their game internationally.
I do wonder however, why the search function doesn't try searching on sub-parts of the image automatically.
Bing really has been improving compared to Google. I can find stuff on Bing which I can't easily find on Google because Google keeps rebuilding my search query, causing irrelevant results to show up.
However, it frequently doesn't return the results I need so I often go over to google.
i also wonder the same. But then it's quite a hard problem to automatically decide which part of the subimage to rerun a search (presumably, it's not free to run so many).
The link describes a technique for training a neural net to detect a type of image, an '8' for example, in an image regardless of location.
However, in this case, you only have one sample of the target. You could run a net to attempt to extract a list of features (children, bronze), and compare that to all your images, but I don't think that's how the bing image search is structured. That would be closer to searching for '4 children bronze park' (which it does a great job of finding such things; just nothing related to the target image).
Also, when you use convolution in the way described in the article, you would lose relative position information (or at least, dampen that part of the signal) of each of the bronze statues; as the entire point is to not care about the position of the object.
For others reading this, if you're looking for long tail content (e.g. running a ∃ type query), my experience with reverse image engines is roughly:
Yandex > Google = Bing > Tineye
For niche content also worth checking KarmaDecay and SauceNao if relevant. Bing's gotten a bit better recently, and with the big boys playing in the space Tineye's quality has definitely dropped off. As far as I can tell Baidu's reverse image search is just complete garbage and never has any useful results. I rank Yandex higher than Google not because their algorithm is better (although it does seem to be a bit more tineye-style forgiving in terms of editing), but also because they seem to greedily index images they crawl in a way that google doesn't (e.g. AFAICT a lower percentage of the images available in google's text-based image search index are available for reverse-image searching than on yandex)
For non long-tail reverse image searching (e.g. I just want a larger size or to find the original source) I mostly stick with Google though, because they seem to make it easiest to binary search the search timeframe like how they caught DPR.
If you're on Firefox (might be a chrome version avail now too?) Image Search Options is the extension you want so you can compare the different engines with a single click.
If others have good newer resources I'd be interested to hear about them.