So i have been trying to nominate a few nominations of hiking trail markers. The AI rejected some of them once, which i understand happens sometimes. But then i resubmit, add a better, more detailed description and it gets rejected IMEDDIATELY after posting it. I simply do not have enough appeals for this obvious flaw in the AI. When the nominations make it past the AI they get accepted of course. Please find a solution for this, appealing is simply not enough
Would you mind sharing your nomination(s)?
A full nomination, including title, description, other text, photos and location would maybe allow us to give some advice.
There is also another possibility – in the event that a wayfarer commits an abuse (whether deliberate or accidental), this can result in all of their upcoming submissions being denied in addition to whichever one triggered the infraction. Is this a possibility?
Did you provide evidence that the trail is official? There are many people attempting to manufacture wayspot by faking trail marker.
Nomination like this is not slam dunk.
You need new foto when you resubmit. Make sure to take multiple foto when attempting to submit wayspot so you can change new foto if it got rejected.
alright thanks for the tips
Also i know that they aren´t guarenteed, i mean that from my experience the stops that made it into voting got accepted usually
Have you appealed any of these? You may have to explain to humans that these are how the trail is marked. We get two appeals, each on a 15 day counter, so use them wisely.
Can you figure out anything visibly different about the ones that made it into voting to sort of use that as a template for how to nominate these? It may be that backing up just a little bit to give more context for the surroundings may help the automated process identify these as something that could be eligible. But that is guessing, because we don’t know exactly what that machine learning model is looking for.
Using the same photo that was used for an ML rejection is very likely to cause a quick ML rejection the second time. The ML has learnt that that photo is not eligible.