Computer Vision Projects Expo 2024

Showcase Overview

Welcome to Ready Tensor's Computer Vision Projects Expo 2024! This competition celebrates innovative contributions in computer vision and multi-modal AI. We invite students, researchers, and professionals worldwide to showcase their work advancing visual intelligence through cutting-edge techniques and practical applications.

Project Categories

Core Computer Vision: Sample applications include -

• Object detection and recognition systems

• Image classification and segmentation

• Face analysis and recognition

• Pose estimation and tracking

• OCR and document analysis

• Video analysis and motion detection

• Depth estimation and 3D reconstruction

Multi-Modal Applications: Example applications are -

• Vision-Language: VQA, image captioning, CLIP applications

• Vision-Audio: Speech recognition, lip reading, sound localization

• Sensor Fusion: RGB-D, LiDAR integration, Visual SLAM

Example Application Domains:

• Healthcare and medical imaging

• Autonomous vehicles and robotics

• Industrial inspection and quality control

• Security and surveillance

• Retail and e-commerce

• Entertainment and gaming

• Remote sensing and climate data

These are just examples - we encourage all innovative approaches in visual AI and cross-modal solutions.

Timeline

• Submission Start Date: November 25th, 2024, 12:00 AM UTC

• Submission Deadline: December 30th, 2024, 11:59 PM UTC

• Judging Period: December 31st, 2024 - January 12th, 2025

• Winners Announced: January 21st, 2025, 11:59 PM UTC

$2,000 in Cash Prizes Plus Additional Benefits!

Main Prize Categories (Guaranteed):

• Best Overall Project: $500 for team + 1-year Pro Plan subscription for all team members

• Most Innovative Project: $250 for team + 6-month Pro Plan subscription for all team members

• Best Technical Implementation: $250 for team + 6-month Pro Plan subscription for all team members

• Most Engaging Presentation: $250 for team + 6-month Pro Plan subscription for all team members

Additional Recognition Categories:

Based on the quality of submissions, additional cash prizes will be awarded across categories including:

• Distinguished Applied Solution Showcase

• Excellence in Educational Content

• Most Promising Innovation

• Distinguished Technical Deep-Dive

• Outstanding Solution Implementation

• Exceptional Dataset Contribution

The total prize pool across all categories is $2,000. The number and value of additional prizes will be determined based on submission quality.

All participants will receive a digital certificate of participation.

Winning projects will be featured on the Ready Tensor platform and our social media channels, providing exposure to a wide audience of AI professionals and enthusiasts.

Who Can Participate?

• The competition is open worldwide to AI enthusiasts, students, researchers, and professionals.

• You can participate as an individual or as part of a team (maximum 10 members per team).

• Participants must be 18 years of age or older.

• Employees and contractors of Ready Tensor are welcome to submit entries for showcase purposes, but are ineligible to win any prizes.

How to Participate

1. Create a free Ready Tensor account if you don't already have one.

2. To create a new publication, click on 'Create New' and then 'New Publication' from the left menu.

3. After that, just follow the intuitive workflow. You can copy/paste content in markdown style, and even upload content from your Jupyter Notebooks. It's fast and easy.

4. Enter your publication into the Computer Vision Projects Expo 2024 (look for this option at the top of the Publication page).

5. Submit your publication before the deadline (December 30th, 2024, 11:59 PM UTC).

Participate Solo or With a Team!

You can choose to participate either as an individual or as part of a team. We welcome both solo innovators and collaborative groups!

Team Participation Guidelines:

• Teams can have up to 10 members

• All team members must create a Ready Tensor account

• The team lead creates the publication and invites team members to join

• Any of the team members can contribute to writing the publication

Prize Distribution for Teams:

• All cash prizes are awarded per team, not per team member

• Prize money for winning teams is awarded to the team lead

• The team lead is responsible for distributing the prize among team members

Submit Up to 10 Projects!

Each participant or team can submit up to 10 different publications into the competition. If you have multiple computer vision projects, or if your work naturally breaks into distinct components (like an open-source dataset), you can submit them as separate publications.

Each submission is evaluated independently and is eligible for different prize categories. More submissions mean more opportunities to showcase your work and gain recognition!

What's a 'Publication'?

In this competition, a 'Publication' is a structured write-up of your AI/ML/data science project on our Ready Tensor platform. It can take various forms:

• A technical report or article

• A project report

• A research paper

• A case study

• Or any other format that effectively presents your work

Winner Selection

The competition features both guaranteed main prizes and additional recognition categories, with a total prize pool of $2,000 distributed across winning submissions.

Main Prize Categories:

• Best Overall Project: $500 cash prize + 1-year Pro Plan subscription for all team members

• Most Innovative Project: $250 cash prize + 6-month Pro Plan subscription for all team members

• Best Technical Implementation: $250 cash prize + 6-month Pro Plan subscription for all team members

• Most Engaging Presentation: $250 cash prize + 6-month Pro Plan subscription for all team members

Based on the quality of submissions, additional cash prizes will be awarded.

Our panel of AI experts will evaluate submissions based on the following criteria:

• Creativity and innovation

• Technical merit and implementation

• Potential real-world impact

• Clarity and engagement of presentation

• Community engagement (reads, likes, and shares)

For detailed guidelines and technical evaluation criteria by publication type, refer to our guide: Best Practices for Publishing on Ready Tensor

Prize Disbursement

• Cash prizes are awarded per team, not per individual team member.

• Teams are responsible for dividing the prize money among their members.

• All cash prizes will be disbursed through PayPal.

• Winners must have or create a PayPal account to receive the prize.

• PayPal will handle any necessary currency conversion for international participants.

Participation Rules

Submission Requirements:

• All submissions must be original work.

• You can submit projects you've worked on in the past.

• All publications must be in English.

• Each participant (or team) can submit up to 10 different publications.

Competition Entry:

• Publications created on Ready Tensor between August 1st, 2024 and the submission deadline are eligible to enter

• The submission window opens on November 25th, 2024

• Projects that have won prizes in previous Ready Tensor competitions are ineligible for prizes but may be submitted as showcase entries.

• Early submissions during the submission period are encouraged as they allow your publication to garner more reads, likes and shares, which are factors considered by the judges.

• Editing is allowed until the submission deadline.

Public Visibility:

• By participating, you agree that your publication will be visible in the public domain on the Ready Tensor platform.

Use of Submissions:

• You agree to allow Ready Tensor to feature your project with proper attribution.

Compliance:

• Participants must comply with all applicable laws and regulations.

How to Structure Your Publication

We accept diverse publication types including Research Papers, Technical Guides, Tutorials, Dataset Contributions, and Applied Solutions. Each type has specific evaluation criteria detailed in our publishing guide.

Key elements for strong submissions:

• Clear project scope and objectives

• Technical methodology and implementation details

• Evaluation metrics and results

• Code, datasets, and documentation

• Impact analysis and future directions

For detailed guidelines and evaluation criteria by publication type, refer to our guide: Best Practices for Publishing on Ready Tensor