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Emily Dorne added a new Discussion - "Support no-code custom AI for camera trap images by filling out this survey" to AI for Conservation
Emily Dorne contributed to Product - "Zamba Cloud"
Emily Dorne added a new Discussion - "WILDLABS AWARDS 2024 - No-code custom AI for camera trap species classification" to AI for Conservation
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- Free online tool to analyze wildlife images
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- AI for Conservation Office Hours: 2025 Review
Read about the advice provided by AI specialists in AI Conservation Office Hours 2025 earlier this year and reflect on how this helped projects so far.
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- AI for Conservation Office Hours: 2025 Review
Read about the advice provided by AI specialists in AI Conservation Office Hours 2025 earlier this year and reflect on how this helped projects so far.
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- Graph of life platform
This is a chance to participate in a short survey about the preferences that conservation practitioners have for evidence. There's a chance to win one of three £20 Mastercard gift cards.
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- Zimbabwe Shines: 5 Key Takeaways from Ramsar COP15
Making waves in wetland conservation: Explore the outcomes and insights from Ramsar COP15, a premier global event on wetland protection and sustainability
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- IUCN Red list R client.
Everything you need on the IUCN Red list is now accessible from R, outputted as tibble to facilitate data query, analysis, and visualization.
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Emily Dorne's Content
Discussion
Do you use camera traps? If so, we'd love if you could take five minutes to fill out this survey: tinyurl.com/zambasurveyWith our WILDLABS award, DrivenData is adding new...
2 October 2024
Discussion
We're excited to introduce our project that will enable conservationists to easily train models (no code!) that they can use to identify species in their camera trap images.As we...
5 April 2024
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Product
Zamba Cloud uses computer vision and machine learning to perform intensive camera trap video processing work, for research and conservation.
Emily Dorne commented on "WILDLABS AWARDS 2024 - No-code custom AI for camera trap species classification"