Do you have bulk camera trap imagery or are you looking to set up camera traps to collect wildlife data? Camera traps are undoubtedly one of the most useful and powerful tools used in wildlife monitoring, but you might want to consider how best you'll process the data collected. One way of sorting camera trap imagery, is to manually go through the 10,000 plus collected in order to group and classify the images, and the other, more efficient option is to use a technological tool; a trained AI/ML model to automatically sort, annotate and analyze the imagery.
Joining me in a few minutes , for a moderated live Q & A session in this thread, is Kate Tindall from the WildID team. Kate will take us through this trained AI/ML model that is used to process camera trap imagery, and will help us unpack the best ways to process data collected using camera traps, to have better output from our research studies/work. If you have any questions for Kate, please feel free to jump in and ask her during the Q&A session.
A few things you need to know about the Live Q&A session:
- The session will be moderated, but you can ask questions during and after the session e.g. If you need clarification on a question/answer, you are free to ask.
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Welcome all to this discussion! I'm excited for what this session holds and hope you learn something new or get answers to some of the questions you have.
23 June 2022 8:59am
Thank you so much for finding time to join us for this session. Before we dive into the technical bit of discussing AI, camera traps and data, could you kindly introduce yourself in a few sentences?