So let’s say I discover that the CV is offering a misleading suggestion for a common plant (in this case, it’s suggesting Triantha glutinosa, Sticky False Asphodel, which is a US - Great Lakes region species, for plants on the Gulf of Mexico coast which are T. racemosa, Coastal False Asphodel). I j…

2 comments: I don’t think it is wrong to do, but note that once there are 1000 photos of a taxa, no idea how many there are here, the photos are randomly chosen for the training model the one risk is that it gets a high percentage of the photos showing something the average photo wont show. As an …

Has any work been done to show the variation in error rate based on which 1000 photos are chosen to train the model? I guess this would involve picking a species (or group of species) that has had >1000 photos in the training model for many cycles and comparing the error rate for different iteratio…

The Computer Vision/AI seems to be able to deal very well with one species being represented by two or three extremely different-looking kinds of photos, for example, photos of different life stages, or things like extreme close-ups and micro images mixed in with regular images, so I don’t think tha…

I don’t think that this is wrong, but I do think, since the AI is a bit of a black box, it would be a lot of work for a solution that wouldn’t necessarily have much of an impact (or at least a highly uncertain one). I would guess that a more time-efficient strategy would just be to make sure all the…

Yes, it is important for us all to bear in mind that the AI does not “learn” in the same ways that humans learn. And therefore taking photos that would help humans to understand the difference between two species does not necessarily help the AI discriminate them. And of course it is important to r…

[image] susanhewitt: I notice, for example, that it is heavily influenced in its matching by backgrounds such as stone walls, water surfaces, and sand. Interesting about the AI being influenced by background. I contribute a rather high proportion of the observations of beaksedges. These are …

With sedges I usually pick the flowering/fruiting head and lay it flat on the palm of my hand to photograph it close up. With some plants I have held them up to the sky, but sometimes the lighting and contrast is too harsh that way. I also find that posing mollusk shells on my hand often works the…

[image] janetwright: I just put out the word to several iNat users in my coastal area to take more observations of our species so that in the next AI cycle, they can train the computer. However I ALSO suggested that they particularly make observations that emphasize the long inflorescence, which…

I find that insects and spiders photographed against skin are often suggested to be bloodsuckers like black flies and mosquitos, regardless of what the animal itself looks like. Cropping the photo closer to the organism seems to help with this.

"Helping" the computer vision - is this wrong?

General

bouteloua June 28, 2020, 2:01pm 6

You might be interested in this post: https://forum.inaturalist.org/t/identification-quality-on-inaturalist/7507 which briefly touches on accuracy based on number of training images.

Topic		Replies	Views
Don't use computer vision General	169	9895	September 18, 2020
Problems with Computer Vision and new/inexperienced users General	134	5668	December 27, 2021
Workings of iNat Artificial Intelligence (AI) aka Computer Vision (CV) General	29	2412	May 21, 2022
Recommendations on improving the AI algorithm? General	50	997	June 12, 2025
Weak points of Computer Vision Model General	30	884	December 10, 2025

"Helping" the computer vision - is this wrong?

Related topics