Group

Ending Wildlife Trafficking Online / Feed

The world’s most endangered species are under threat from an unsuspecting source—the Internet. The Coalition to End Wildlife Trafficking Online launched this group in partnership with WILDLABS to create a space for discussing the technologies and partnerships that are pushing to turn the tide in the fight against trafficking in wildlife species and products online.

discussion

AI accelerator for nonprofits working in the Climate area

Hello everyone! I'm here today to share an interesting opportunity with you! As part of the Tech To The Rescue team, I am thrilled to unveil our latest transformative initiative!...

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Thank you so much! Now everything is in the hands of amazing organizations and companies! But the first results of the Disaster Management cohort are bringing a very optimistic vision! :) I hope for the same in the Climate cohort!

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New WILDLABS Funding & Finance group

WildLabs will soon launch a 'Funding and Finance' group. What would be your wish list for such a group? Would you be interested in co-managing or otherwise helping out?

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This is great, Frank! @StephODonnell, maybe we can try to bring someone from #Superorganism (@tomquigley ?) or another venture company (#XPRIZE) into the fold!
I find the group to be dope, fundraising in the realm of conservation has been tough especially for emerging conservation leaders. There are no centralized grants tracking common...
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Rhino horns in medicine 

Hi everyone,I'm new here :)I'm doing my thesis of biology bachelor about Rhino poaching. I wanted to ask here if yu have some articles about Lab data of the inefficiency of the...

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Ceres Wild Rhino application 

An update on Ceres Tags products that are being used in conservation 

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Some updates and a news report on the Malilangwe Trust application of devices; Ceres Trace and Ceres Wild
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CERES TAG

Ceres Tag sends just in time alerts and GPS location to have the power to track and trace.

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Who’s who - Introduce yourself!

Welcome to the Combatting Wildlife Cybercrime Community of Practice!  In a few sentences, please introduce yourself, your affiliation, and your areas of interest / focus....

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Welcome to the group, @divyar !  Can you please tell us a little more about yourself and your interests in this thread?  Thanks!

 

Hi all!  I hope everyon had a restful break.  We have a couple new members to the group!  @dalenerusso and @ediminin can you please introduce yourselves here?

Hello All,

My name is Karima Cherif and I work for WildAid Marine and our focus is to end wildlife trafficking in our lifetime. I specialize in marine electronics and work in Gabon, Galapagos, Tanzania, and the Bahamas. In Gabon, we have many small scale fishing canoes that transport illegal bush meat such as pangolin and shark fin. Especially, with COVID the trafficking is increasing as people are becoming more despair to feed their families and cover their basic expenses. I append an article from NBC that discussing a new app that we developed in 2020 called O-Fish (Officer's Fisheries Information Sharing Hub). It is free and we invite MPA managers and agencies to try it.

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discussion

Machine learning to help fight illegal wildlife trade on social media

Hi everyone, here's a great paper by our friend Enrico Di Minin and team on the importance and challenges of leveraging social media platforms to monitor illegal wildlife...

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@ediminin, thank you for your reply! Your paper was a great read. It's been a little over a year since I asked this question, but didn't get a chance to log in to the site again or follow-up. As you mentioned, is the code from new analyses available now? Thanks in advance for any pointers!

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If the actual analysis has been performed, is the dataset available? I had some time during the pandemic and wanted to do something very similar. I e-mailed many different people for a workable dataset but had no luck.

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discussion

ImageNet?

Hi all, does anyone have experience in using ImageNet?  It is an image database that is organized according to the WordNet hierarchy and has over 14M images.  I am...

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Hi, deep learning frameworks like Pytorch and Tensorflow come with state-of-the-art image recognition models (VGG, GoogleLeNet, ResNet, Inception etc.) already pre-trained on ImageNet, so one can just download and use them straight away.

This provides a solid starting point as these models have already learnt how to classify objects really well. Transfer learning can then be used to fine-tune them for a specific task like identifying ivory in photos. This just requires that you tweak the existing model a bit and train it on a smaller custom dataset of the image’s/categories you would like to classify.

Hope that helps!

Really helpful, @adnortje !  And thanks for listing out some of the latest and greatest image recognition models.  Do you know of any programs that are using GoogleLeNet for wildlife image recognition, by chance?

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