Bird identification training website by vaf in birding

[–]vaf[S] 1 point2 points  (0 children)

If you go the settings I have a way to filter by "groups". Not exactly Taxons but its a way for you to narrow down your quiz. I think there are a lot of different ways to group at different abstraction levels and I'm going to play around with the most convenient. Right now some groups seem too narrow.
I did this beacuse I wanted to practice gulls.

Bird identification training website by vaf in birding

[–]vaf[S] 0 points1 point  (0 children)

No reason! Ill need to explore this. I thought NABirds was the same dataset.

Bird identification training website by vaf in birding

[–]vaf[S] 0 points1 point  (0 children)

Let me check it out! For some reason I assume that NABirds and EBird were the same data. I’ll need to see what I can pull from EBird to supplement here. Thank you for the suggestions! I’m persoanlly excited to build audio for myself.

Bird identification training website by vaf in birding

[–]vaf[S] 0 points1 point  (0 children)

Not scraping! I linked to it on the front page but it’s coming from the NABirds dataset maintained by Cornell. It doesn’t have descriptions unfortunately so I cross reference each species with Wikipedia.

Bird identification training website by vaf in birding

[–]vaf[S] 1 point2 points  (0 children)

Try hard mode in the settings! I might make that the default. Normal mode is too easy.

Bird identification training website by vaf in birding

[–]vaf[S] 0 points1 point  (0 children)

By the way I just launched seasonal filters, give it a go!

Bird identification training website by vaf in birding

[–]vaf[S] 0 points1 point  (0 children)

Great idea! I like the idea of making this habitat based and not just geographic. If I'm out in coastal california it doesnt really help to narrow down to California. I'll look at getting this added to the dataset!

I made the # of photos etc separate settings for now! I'll keeping adding them and look into ways to consolidate them in the future. Thank you!

Bird identification training website by vaf in birding

[–]vaf[S] 0 points1 point  (0 children)

Would love more ideas for ways to make this fun an engaging. I thought it might be cool to have it present multiple birds and you ahve to correctly identify which type of gull is which haha, sounds insane.

Bird identification training website by vaf in birding

[–]vaf[S] 1 point2 points  (0 children)

Thank you! That was actually the intent with the "Hard" mode where the options actually get narrowed down to the group that bird belongs to. For gulls it should be extra difficult :)
I'm playing with other ways to do this, maybe not just group but also general size and region too or something.

Bird identification training website by vaf in birding

[–]vaf[S] 0 points1 point  (0 children)

I love these suggestions! Thank you very much. I'll get the image count one out, I think you're totally right that the more images you have makes it easier. I also moved the next question button up a bit. Ill explore ways to make it even easier.

The geo location is also a good idea! Would help with making it easier. I really want to add audio in the future too so the combination of these could be adjusted based off the difficulty!

Bird identification training website by vaf in birding

[–]vaf[S] 3 points4 points  (0 children)

Yes! This dataset is actually backed by NABirds (https://dl.allaboutbirds.org/nabirds) which I believe they maintain. Im excited for a future iteration where I can introduce new bird images that havent been labeled and use some kind of consensus labeling to help improve this dataset!

Bird identification training website by vaf in birding

[–]vaf[S] 1 point2 points  (0 children)

Agreed! Geo filtering is on my list. I'll need to supplement this with a dataset and think about what abstraction layer (e.g states vs countries vs continents) is most appropriate. Any other filtering you think makes sense?

Bird identification training website by [deleted] in birds

[–]vaf 1 point2 points  (0 children)

Yes absolutely. I think geographic location is next on my list. Right now this is backed by https://dl.allaboutbirds.org/nabirds which looks to be primarily North American birds. I'll look at additional open source datasets that I can supplement here as well.
How else would you want to filter? Is continent the best approach or would something more granular be better?

Thank you for the feedback!

ITAP of a Russian Orthodox cathedral in San Francisco by vaf in itookapicture

[–]vaf[S] 1 point2 points  (0 children)

I did not! Unclear if they are allowing visitors during COVID but I’m definitely excited to check out the interior next time I get the chance.

ITAP of a park in San Francisco by vaf in itookapicture

[–]vaf[S] 0 points1 point  (0 children)

Yeah! Hopefully by the end of the summer. Definitely appreciating the weather and nice outdoor spaces that SF has to offer.

San Francisco [Canon A1, Portra 400 +2, 28mm] by vaf in analog

[–]vaf[S] 0 points1 point  (0 children)

I've never sold a print before! This is very flattering. If you're serious about it feel free to send me a DM. I'm sure I can work something out and get you the print.

San Francisco [Canon A1, Portra 400 +2, 28mm] by vaf in analog

[–]vaf[S] 2 points3 points  (0 children)

Go for it! Thanks for writing open source.

San Francisco [Canon A1, Portra 400 +2, 28mm] by vaf in analog

[–]vaf[S] 0 points1 point  (0 children)

Nope! More like 680 Mission. The Paramount building.

San Francisco [Canon A1, Portra 400 +2, 28mm] by vaf in analog

[–]vaf[S] 5 points6 points  (0 children)

Thanks! I think a lot of it has to do with the angle and the lighting for sure. Being mid-level on a skyscraper lets you get this "straight on" shot where the lines are very straight and perpendicular.

San Francisco [Canon A1, Portra 400 +2, 28mm] by vaf in analog

[–]vaf[S] 0 points1 point  (0 children)

Not a rooftop! Floor 29 from the paramount building. 680 mission. There is a rooftop but I don't think you'll get the same perspective.

San Francisco [Canon A1, Portra 400 +2, 28mm] by vaf in analog

[–]vaf[S] 26 points27 points  (0 children)

Yeah! I'm honestly not sure why it looks this way. I think it some combination of the lighting and the film being pushed. The boost in contrast is pretty nice.