Naive Bees Classifier Hosted By Metis
Can you identify a bee as a honey bee or a bumble bee? Practice image processing and classification techniques and help researchers seeking to protect pollinators from collapse.
No. of Entries
ea1st Place Team
Wild bees are important pollinators and the spread of colony collapse disorder has only made their role more critical. Instead of experts needing to go through countless bee photos by hand, the winning algorithm can help automate this process and save a huge amount of valuable time.
Gaining insight into changing bee populations is critical to understand the effects of colony collapses. Unfortunately, it takes a lot of time and effort for researchers to gather data on wild bees. Although BeeSpotter is making this process easier by using images submitted by citizen scientists, they still require experts to go through each image to examine and identify each bee. This obviously is very time consuming.
Build an algorithm that identifies the type of bee in each photograph. METIS has asked the Drivendata community to build an algorithm that is able to succesfully identify honey bees and bumble bees in a photograph, even when those photographs have great variety in their backgrounds, positions, and image resolutions.
When we challenged our community to build an algorithm to pick out the genus of a bee based on the image, we were shocked by the results: the winners achieved a 0.99 AUC (out of 1.00) - a common measure of a model’s accuracy - on the images they had never seen before.
RESULTS ANNOUNCEMENT + MEET THE WINNERS
Naive Bees Classifier: Rules and Terms of Data Use
DrivenData Competition Rules
One account per participant
You cannot sign up to DrivenData from multiple accounts and therefore you cannot submit from multiple accounts.
Private sharing of code
Privately sharing code or data outside of teams is not permitted.
Public dissemination of entries
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Open licensing of winners
Winning solutions need to be made available under The MIT License (an open source software license commonly described at http://opensource.org/licenses/MIT) in order to be eligible for recognition and prize money if offered.
Documentation for winning solutions
Winning solutions must be documented using the provided Winning Model Documentation Template in order to be eligible for recognition and prize money if offered.
The number of submissions per day is restricted to a fixed value on a per-competition basis. Any attempt to circumvent this limit will result in disqualification.
External data is not allowed unless otherwise noted explicitly on these competition pages. Participants agree to make no attempt to use additional data or data sources not provided on these competition pages.
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Data use and code sharing
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