VEDAI
Vedai is a crowdinvesting platform on a mission to make education more accessible. Vedai brings together students seeking educational opportunities, and those ready to invest in them in return for a share of their future income.
VEDAI
Social Links:
Industry:
Information Services
Founded:
2021-01-01
Address:
Lewes, Delaware, United States
Country:
United States
Website Url:
http://www.vedai.org
Total Employee:
1+
Status:
Active
Email Addresses:
[email protected]
Total Funding:
25 K USD
Technology used in webpage:
Domain Not Resolving Euro Amazon Frankfurt Region
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Current Advisors List
Investors List
Paralect
Paralect investment in Pre Seed Round - Vedai
Official Site Inspections
http://www.vedai.org
- Host name: 162.255.119.214
- IP address: 162.255.119.214
- Location: Los Angeles United States
- Latitude: 34.0318
- Longitude: -118.4252
- Metro Code: 803
- Timezone: America/Los_Angeles
- Postal: 90064
More informations about "Vedai"
VEDA IIT -- Official Page
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Vedai - Crunchbase Company Profile & Funding
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What is Vedai and why are we doing it? - Medium
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Vedai - Products, Competitors, Financials, Employees, …
Vedai primarily serves the educational technology and investment sectors by empowering boot camps to educate more individuals and providing investors with opportunities for passive …See details»
VedAI - Smarter Solutions for an Accessible Future
Our mission is to make information universally accessible, empowering everyone, regardless of visual impairments or disabilities. Our AI-driven OCR technology excels in handling complex …See details»
About VedAI - Empowering Accessible Knowledge
At VedAI, our mission is to enable equal access to education for everyone, regardless of disability, through affordable, scalable, and easy-to-use technology. We're committed to: Closing the …See details»
Vedai - GitHub
Vedai has one repository available. Follow their code on GitHub.See details»
Vehicle detection in aerial imagery | Journal of Visual …
Jan 1, 2016 · This paper introduces VEDAI: Vehicle Detection in Aerial Imagery a new database of aerial images provided as a tool to benchmark automatic target recognition algorithms in …See details»
Vehicle detection in aerial imagery : A small target detection ...
Jan 1, 2016 · This paper introduces VEDAI: Vehicle Detection in Aerial Imagery a new database of aerial images provided as a tool to benchmark automatic target recognition algorithms in …See details»
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FFCA-YOLO for Small Object Detection in Remote Sensing Images
Feb 6, 2024 · Two public remote sensing datasets (VEDAI and AI-TOD) for small object detection and one self-built dataset (USOD) are used to validate the effectiveness of FFCA-YOLO. The …See details»
LRAF-Net: Long-Range Attention Fusion Network for …
Jun 6, 2023 · To solve these problems, we propose a feature-enhanced long-range attention fusion network (LRAF-Net), which improves detection performance by fusing the long-range …See details»
Vehicle Detection in Aerial Imagery (VEDAI) : a benchmark - GREYC
VEDAI is a dataset for Vehicle Detection in Aerial Imagery, provided as a tool to benchmark automatic target recognition algorithms in unconstrained environments. The vehicles …See details»
GitHub - qzq92/YOLO_on_VEDAI: Applying Object detection …
Exploration of YOLOv7 object detection model on VEDAI dataset As AI advances are progressingly at a rapid pace, the purpose of this work is to explore the use of open-sourced …See details»
VEDAI Benchmark (Object Detection) - Papers With Code
The current state-of-the-art on VEDAI is GHOST. See a full comparison of 3 papers with code.See details»
Frequency-Aware Axial-ShiftedNet in Generative ... - IEEE Xplore
Oct 11, 2024 · In this research, we present the Freq-ShiftedNet model, which employs an adversarial generative network approach for training. By harnessing the power of the Haar …See details»
VEDAI dataset categories information. | Download Scientific Diagram
As shown in Table 5, the VEDAI dataset contains nine different categories of vehicles: car, pick-up, truck, plane, boat, camping car, tractor, van, and others. These categories are divided into...See details»
Examples from the VEDAI dataset. | Download Scientific Diagram
We evaluated the proposed model using standard datasets such as VEDAI-VISIBLE, VEDAI-IR, DOTA, and Korean highway traffic (KoHT), both quantitatively and qualitatively.See details»
Deep Multi-modal Vehicle Detection in Aerial ISR Imagery
In this work, we utilize a recent state-of-the art object detection algorithm, faster R-CNN, to train a deep CNN for vehicle detection in multimodal imagery. We utilize the vehicle detection in …See details»
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