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Welcome! This project recently migrated onto Zooniverse’s new architecture. For details, see here.
Species Number
LYNX 2
CATS 4
GOAT 4
SHEEP 5
WILDBOAR 11
WOLF 27
ERMINE 34
SMALLMAMMALS 42
DOG 43
HUMAN 59
IBEX 69
OTHERMUSTELIDS 71
ROCKPTARMIGAN 121
BADGER 127
COW 180
HARES 234
MARMOT 243
BLACKGROUSE 387
SQUIRREL 473
FOX 855
ROEDEER 1473
REDDEER 2021
CHAMOIS 3466
We have begun a new collaboration with a French research laboratory specialising in participatory science and sociology (CNRS - Centre Max Weber). An initial analysis of the 2020-2023 period has revealed some major trends in participation in the project via classification or the forum (Talk).
In total, we put 115,000 photos online, observed by 21,234 people. 35% of the 115,000 photos were identified by contributors who also participate in the forum. However, these contributors represent only 4% of the 21,000 contributors. On average, they therefore participate more by identifying more photos, and their success rate is also much better. However, there is no obvious link between the number of photos identified and the success rate. Forum participants were both more committed to the programme and also better at identifying photos than those who did not take part. However, it is difficult to conclude that there is a forum effect, since we do not know whether investment in the forum is a cause or a consequence of the skills of the contributors. More details (in French)
See a map of participants in Wild Mont-Blanc
We have analysed how artificial intelligence (AI) models called ‘fundamental image-text models’ can be used to identify the behaviour of animals in photographs. By testing several models, we were able to recognise behaviours such as feeding, resting and moving, with an accuracy close to that of the participants in Wild Mont-Blanc. The study shows that AI tools can help to study certain animal behaviours quickly and at low cost.
We only carried out this analysis for red deer, roe deer and chamois. For the other species, participatory science will enable us to improve future algorithms even further. More details
1st : chamois, 2nd : red deer, 3rd : roe deer
More details [here]
The initial results give indications of how different species visit the observed environments according to the seasons and their daily activity
More details [here]
How Camera Traps Significantly Increase our Means of Observation
Camera traps: the contribution of artificial intelligence and the general public to our research