VEDAI

vedai-logo

Vedai is โ€‹โ€‹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.

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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

egor-tsaryk_image

Egor Tsaryk Tech Lead @ Vedai
Board_member

alex-shkor_image

Alex Shkor Business Development Lead @ Vedai
Board_member

alexey-kulik_image

Alexey Kulik Chief Architect @ Vedai
Board_member

julia-shinkevich_image

Julia Shinkevich Product Manager @ Vedai
Board_member

Investors List

paralect_image

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

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Vedai - GitHub

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Vehicle detection in aerial imagery | Journal of Visual โ€ฆ

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Vehicle detection in aerial imagery : A small target detection ...

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FFCA-YOLO for Small Object Detection in Remote Sensing Images

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LRAF-Net: Long-Range Attention Fusion Network for โ€ฆ

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Vehicle Detection in Aerial Imagery (VEDAI) : a benchmark - GREYC

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GitHub - qzq92/YOLO_on_VEDAI: Applying Object detection โ€ฆ

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 โ€ฆSee 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, 2024ย ยท 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 โ€ฆSee 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

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