Greenstand
环境服务
Anchorage，AK 1,698 位关注者
Technology for sustainable reforestation & poverty alleviation
关于我们
Greenstand is a U.S.-based 501(c)(3) nonprofit organization developing open-source technology to address climate change and alleviate poverty through digitizing environmental goods and services. We are made up of about 350 contributors across the globe. Our Treetracker app verifies and tracks individual trees, thus creating transparency in the reforestation sphere. Organizations and donors can locate individual trees and trade their ecological impact. By facilitating ownership of trees and their ecological services, Greenstand allows for tree-growing organizations to stay accountable. Our data-driven system is shifting the focus from simply planting trees to growing diverse forests. We value the process of growing trees by verifying the incremental growth of each tree. The data is then packaged into a tree wallet system so that it can be accessed and traded by users anywhere in the world. Greenstand is unlocking the untapped potential of mass employment in forest restoration on a per-tree basis.
- 网站
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https://greenstand.org
Greenstand的外部链接
- 所属行业
- 环境服务
- 规模
- 11-50 人
- 总部
- Anchorage，AK
- 类型
- 非营利机构
- 创立
- 2015
- 领域
- Tree tracking、Agro-forestry、Tree mapping、Poverty Alleviation、Tree Planting accountability 、Tree Planting 和Reforestation
地点
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主要
获取路线
721 Depot Drive
US，AK，Anchorage，99501
Greenstand员工
动态
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Have you ever been curious about our story? It all started with two people, one in the sky and one on the ground, seeing the same crisis—and the same hope. Read more below. #Greenstand, #MRV, #TreetrackerApp, #OurJourney, #OurHistory
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Incredible work by one of our brilliant contributors Neelanchal Gahalot! This segmentation pipeline—built using the Segment Anything Model (SAM) with a local frontend and Lightning AI Studio—gives us complete control over our data while ensuring speed, privacy, and scalability. For a mission like ours, where geotagged imagery and community data are highly sensitive, this approach is not just smart—it’s essential. It’s innovations like these, and the tireless dedication of our contributors, that allow Greenstand to better serve communities, protect data, and make a meaningful impact on the ground. We’re proud and grateful to have such talented minds pushing the boundaries of what’s possible.
Own your Segmentation/ Object-Detection Pipeline: Using a 3rd party tool like Roboflow/ CVAT has been the norm for annotating your data. The setup is quite flexible and they offer paid plans for your team if the number of annotators exceed a certain number of teammates (typically 4-5). I would not recommend using this setup if your data is sensitive (e.g., healthcare, defense). In segmentation-heavy workflows (think medical imaging, satellite imagery, or internal tooling), sending sensitive or proprietary images to cloud platforms is a data governance risk. And often, those third-party tools add latency, cost, and friction when you could have a faster, cheaper, and more secure solution in-house. Recently, I connected the Segment Anything Model (SAM) as a backend service for Greenstand to Lightning AI Studio and built a simple HTML frontend to load local images, send them to SAM, and render masks natively—all without leaving my environment or sending data to external APIs. ✨ No vendor lock-in ✨ Full control over the data pipeline ✨ Scalable, customizable, and private Setting this up from scratch is not resource-heavy and should not take more than a day! Let’s normalize owning the full loop: 🧠 Model in backend 🖼️ Native frontend integration 🔒 Data stays within your system Happy to share details or help folks trying to set this up! If you're looking to build or refine your own ML workflows—anything from model selection, fine-tuning, knowledge distillation, or setting up in-house data pipelines—I’d be happy to chat. I’ve helped teams go from experimentation to production-ready systems that scale. 📩 Reach out: neelanchalgahalot@gmail.com #MachineLearning #ComputerVision #SegmentAnything #DataOwnership #AnnotationTools #OpenSource #MLops #SAM #LightningAI