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Challenge Categories
Challenges Entered
Improve RAG with Real-World Benchmarks
Latest submissions
Revolutionise E-Commerce with LLM!
Latest submissions
Revolutionising Interior Design with AI
Latest submissions
Multi-Agent Dynamics & Mixed-Motive Cooperation
Latest submissions
Advanced Building Control & Grid-Resilience
Latest submissions
Specialize and Bargain in Brave New Worlds
Latest submissions
Trick Large Language Models
Latest submissions
Shopping Session Dataset
Latest submissions
Understand semantic segmentation and monocular depth estimation from downward-facing drone images
Latest submissions
Audio Source Separation using AI
Latest submissions
Identify user photos in the marketplace
Latest submissions
A benchmark for image-based food recognition
Latest submissions
Using AI For Buildingβs Energy Management
Latest submissions
Learning From Human-Feedback
Latest submissions
What data should you label to get the most value for your money?
Latest submissions
Interactive embodied agents for Human-AI collaboration
Latest submissions
Specialize and Bargain in Brave New Worlds
Latest submissions
Amazon KDD Cup 2022
Latest submissions
Behavioral Representation Learning from Animal Poses.
Latest submissions
Airborne Object Tracking Challenge
Latest submissions
ASCII-rendered single-player dungeon crawl game
Latest submissions
Latest submissions
5 Puzzles 21 Days. Can you solve it all?
Latest submissions
Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments
Latest submissions
5 Puzzles 21 Days. Can you solve it all?
Latest submissions
Self-driving RL on DeepRacer cars - From simulation to real world
Latest submissions
3D Seismic Image Interpretation by Machine Learning
Latest submissions
5 Puzzles 21 Days. Can you solve it all?
Latest submissions
Latest submissions
5 Puzzles 21 Days. Can you solve it all?
Latest submissions
5 Puzzles 21 Days. Can you solve it all?
Latest submissions
Multi-Agent Reinforcement Learning on Trains
Latest submissions
A dataset and open-ended challenge for music recommendation research
Latest submissions
A benchmark for image-based food recognition
Latest submissions
Latest submissions
Sample-efficient reinforcement learning in Minecraft
Latest submissions
Latest submissions
5 Puzzles, 3 Weeks. Can you solve them all? π
Latest submissions
Multi-agent RL in game environment. Train your Derklings, creatures with a neural network brain, to fight for you!
Latest submissions
Predicting smell of molecular compounds
Latest submissions
Find all the aircraft!
Latest submissions
5 Problems 21 Days. Can you solve it all?
Latest submissions
5 Puzzles 21 Days. Can you solve it all?
Latest submissions
5 Puzzles, 3 Weeks | Can you solve them all?
Latest submissions
Latest submissions
Grouping/Sorting players into their respective teams
Latest submissions
5 Problems 15 Days. Can you solve it all?
Latest submissions
5 Problems 15 Days. Can you solve it all?
Latest submissions
Predict Heart Disease
Latest submissions
5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?
Latest submissions
Latest submissions
Remove Smoke from Image
Latest submissions
Classify Rotation of F1 Cars
Latest submissions
Can you classify Research Papers into different categories ?
Latest submissions
Can you dock a spacecraft to ISS ?
Latest submissions
Multi-Agent Reinforcement Learning on Trains
Latest submissions
Multi-Class Object Detection on Road Scene Images
Latest submissions
Localization, SLAM, Place Recognition, Visual Navigation, Loop Closure Detection
Latest submissions
Localization, SLAM, Place Recognition
Latest submissions
Detect Mask From Faces
Latest submissions
Identify Words from silent video inputs.
Latest submissions
A Challenge on Continual Learning using Real-World Imagery
Latest submissions
Latest submissions
See Allgraded | 200977 |
Music source separation of an audio signal into separate tracks for vocals, bass, drums, and other
Latest submissions
Amazon KDD Cup 2023
Latest submissions
Amazon KDD Cup 2023
Latest submissions
Make Informed Decisions with Shopping Knowledge
Latest submissions
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powerpuff AI Blitz XView
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teamux NeurIPS 2021 - The NetHack ChallengeView
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tempteam NeurIPS 2022 IGLU ChallengeView
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testing Sound Demixing Challenge 2023View
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grogu HackAPrompt 2023View
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apollo11 MosquitoAlert Challenge 2023View
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testteam Commonsense Persona-Grounded Dialogue Challenge 2023View
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temp-team Generative Interior Design Challenge 2024View
Amazon KDD Cup 2024: Multi-Task Online Shopping Ch
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
Meta Comprehensive RAG Benchmark: KDD Cup 2
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
Has the Winner Notification already been sent?
8 days agoMy previous reply clearly states that the winner announcement will be made after the due diligence process is completed. Nowhere does it specify that it will be sent only to the winning participants. As is the standard practice for all challenges, the winner announcement email will be sent to all participating teams and candidates once the due diligence process is over.
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
βΌοΈ β° Select Submission ID before 20th June, 2024 23:55 UTC
9 days agoThe winners are not announced yet. You will receive an email about the winner announcement once the due diligence is completed.
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
Has the Winner Notification already been sent?
9 days agoThe winners are not announced yet. You will receive an email about the winner announcement once the due diligence is completed.
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
βΌοΈ β° Select Submission ID before 20th June, 2024 23:55 UTC
About 1 month agoYes, we have extended the deadline till June 22nd 12:00 UTC (noon).
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
β° Deadline Extended for Submission Selection Form (June 22nd 12:00 UTC)
About 1 month agoHello all,
We are extending the submission selection form deadline to June 22nd, 12:00 UTC (noon).
We will use either the top two submissions on the track-specific leaderboard or the submission IDs specified in the form. If you indicate more than two submissions for any track, we will consider the last two submission IDs. If you have already selected submission IDs on the form and wish to change them, you can do so before the new deadline.
Please note, that all submissions on the form must be eligible for the respective track. For instance, you cannot indicate a submission for Track-1 as your intended submission for Track-2 unless it is already on the leaderboard of Track-2.
Please follow the guidelines and fill out the form by 22nd June, 12:00 UTC.
All the best
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
βΌοΈ β° Select Submission ID before 20th June, 2024 23:55 UTC
About 1 month agoYes, if your code is addressing all three tasks you can submit the same IDs for the 3 tasks.
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
βΌοΈ β° Select Submission ID before 20th June, 2024 23:55 UTC
About 1 month agoYou can select 2 submission IDs for each task in the form.
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
βΌοΈ β° Select Submission ID before 20th June, 2024 23:55 UTC
About 1 month agoHello Participants,
Please select Submission IDs for the private leaderboard evaluation.
Deadline for Form Submission:
20th June 2024, 23:59 UTC
Individual Participants:
Please submit the form only once. If multiple entries are made, we will consider your last form entry.
Teams:
If multiple team members submit the form, we will consider the Team Organizerβs last form entry as the final one.
Submit your form here: Meta Challenge Form
All the best,
Meta Comprehensive RAG Benchmark Challenge Team
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
β¨ Check out the KG Baseline
About 1 month agoHello all,
Check out the baseline and learn how to use the Knowledge Graph through MockAPI.
More details here.
All the best
Team CRAG
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
π¨ IMP: Phase 2 Announcement
About 2 months ago![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
Tag βPhase 2: 13 days leftβ appears today suddenly, and the submission remaining turns to 1?
About 2 months agoUpdates regarding Phase 2 will be shared soon. The leaderboard is visible for Round 1b.
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
π¨ IMP: Phase 2 Announcement
About 2 months agoPhase 2 Laucnh Updates: Comprehensive RAG Benchmark (CRAG) 2024
Hello everyone,
Welcome to Phase 2 of the CRAG: Comprehensive RAG Benchmark. Please carefully read the updates below.
Eligibility
- Teams: All teams with at least one successful submission in Phase 1 can enter Phase 2.
Key Updates for Phase 2
- Time Limit: The time limit per example is 30 seconds.
- Submission Limit: The submission limit for Phase 2 is 10 per week.
- MockAPI Update: The MockAPI has been updated to include a private Knowledge Graph.
- Leaderboard: 20% of the private test set will be used to run the leaderboard (same as Phase 1b).
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Final Evaluation:
- As soon as this phase ends, a final exhaustive evaluation will be conducted on the full Phase 2 test set on a submission of your choice (defaulting to your best submission on the leaderboard).
- The top submission chosen by the team will be used for the final evaluation.
- Submission Deadline: The last date to make a submission is June 20, 2024, at 23:55 UTC.
All the best,
Team CRAG 2024
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
Why am I not qualified for this round.
2 months agoCan you please check again? The qualifying criteria for Round 1b has now been removed, so you should be able to make a submission now.
Spotify Sequential Skip Prediction Challeng-e09c52
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
Is the data not available anymore?
19 days agoHi, the data is available. Please sign up for the challenge and visit the resource section to download it.
Generative Interior Design Challenge 2024
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
The Generative Interior Design Challenge: How Did the Challenge Winners Transform Empty Rooms with AI
30 days agoThe Generative Interior Design Challenge is the latest interdisciplinary competition hosted on AIcrowd that uses Generative AI to enhance Interior Design. Participants were tasked with using AI to transform empty rooms into furnished spaces based on text descriptions. The goal was to develop a model capable of understanding a text prompt and interpreting an image of an empty room to generate a new image that includes furnishings and design prompts.
The Objective
This challenge required participants to blend their technical skills and creativity to produce aesthetically pleasing and functional designs. The goal was to change how designers, architects, and homeowners envision and plan interior spaces, making the process more efficient and accessible.
Participants used LLMs and Stable Diffusion Models to create visually appealing interiors based on text prompts and a reference image of an empty room to create visually appealing interiors based on text prompts. Submissions were evaluated on room layout, realism, functionality, and consistency with the text prompt. Generated images were also manually assessed by a panel of trained experts to ensure that the designs adhered to the original roomβs structure and met standards of realism and practicality.
The amalgamation of art and technology in this challenge provided a chance to explore the impact of generative networks in advancing the interior design field and opening new avenues for client-designer interactions.
MEET THE WINNERS
1st Place: Team decem
- Prize: $7,000
- Members: Yi Zhang, Chenyue Wang, Xiaoya Liu
Background: Yi Zhang graduated with a bachelorβs degree and currently works at Sichuan Timesnew Technology Co., Ltd. Along with Chenyue Wang, and Xiaoya Liu, students of Peking University, the team blends experience and enthusiasm. They joined this challenge to improve their understanding and practical skills in diffusion and ControlNet.
Approach: The team began by learning and understanding the concepts of diffusion and ControlNet. Applying their theoretical knowledge to real-world scenarios through hands-on projects, they embraced setbacks and saw them as opportunities for growth. They prepared for the challenge with rigour and practice, ultimately topping the leaderboard.
2nd Place: Team StableDesign
- Prize: $5,000
- Members: Mykola Lavreniuk, Bartosz Ludwiczuk
Background: Mykola, a PhD in Applied Mathematics and Senior ML/CV Engineer at the Space Research Institute, holds expertise in visual analysis, detection, segmentation, and monocular depth estimation. He has developed state-of-the-art models and has experience in multimodal techniques, generative AI, and satellite image analysis. His teammate, Bartosz Ludwiczuk, is the Computer Vision Tech Lead at SoftServe. He specialises in representation learning techniques in the image domain, with experience in face recognition, image retrieval, and gait recognition. Both Mykola and Bartosz are regular participants in Machine Learning competitions, consistently achieving top ranks in AIcrowd competitions.
Approach: Team StableDesign started by developing a dataset, sourcing approximately 300,000 images from Airbnb and processing them to extract features for interior and outdoor scenes. They filtered out indoor images, generated segmentation masks and depth maps for each, and created empty room images using an inpainting pipeline. They used the llava1.5 model to generate image descriptions and trained two custom Control Nets based on depth and segmentation-conditioned images. During inference, they used an inpainting pipeline based on the Realistic_Vision v5.1 model, along with the two custom Control Nets and the IP Adapter. Their full code is available here, and their final best model can be accessed here.
3rd Place: Team XenonStack
- Prize: $3,000
- Members: Akash Pandey, Navdeep Singh Gill, Dr Jagreet Kaur
Background: Akash is an AI Solution Architect at Xenonstack, specialising in providing Generative AI solutions and overseeing AI operations. He is passionate about advancing technology through experimental projects. Xenonstack is a Technology Consulting and Solutions company focusing on platform engineering, data intelligence, and generative and edge AI. The team is led by Navdeep Singh Gill and Dr Jagreet Kaur, who have over 20 years of experience in the field and are recognised as LinkedInβs Top AI and Data Voices.
Approach: Team XenonStack began by analysing the problem statement and baseline solution and identifying enhancement opportunities. They implemented a pipeline with a base model, exploring various prompt strategies. Their top improvements included integrating dual ControlNet models, advanced segmentation, masking models, and inpainting models to refine detail and realism. Each modification was tested and improved iteratively. Despite challenges, they continuously adapted by enhancing their strategies to meet the design criteria better, leading to their eventual victory.
Thank you to all participants, and congratulations to our winners! Their innovative approaches and hard work helped redefine the impact of AI on interior design.
Meta KDD Cup 24 - CRAG - Retrieval Summarization
![](https://images.aicrowd.com/100x100/images/participants/image_file/13256/photo_2022-02-21_17-55-44_Cropped.jpg)
Why am I not eligible to participate?
2 months agoHave you clicked on the participate button and accepted the challenge rules?
Change Team Name Request
7 days agoYour team name has been updated to BMI_DLUT.