Open Computer Vision Library
Grand Prize Winners Announcement Soon
A new type of contest from OpenCV combining the power of the OpenVINO™ Toolkit with AI-generated images to challenge the community and have fun with AI.
OpenCV AI Scavenger Hunt is a new contest from OpenCV combining the power of the OpenVINO Toolkit with one of the most talked about things in computer vision technology today: Images generated by feeding text to a speciality trained kind of AI network.
Each Monday in October we’ll email you a AI-created image and it’s up to you to uncover the prompt we used to generate it. To help you discover the prompt we’re providing you with 2 clues and 2 pretrained models from the OpenVINO Model Zoo. Run the clues against the models and discover the prompt!
Correctly identifying the prompt will enter you to win a bunch of different cash prizes, including the $3,000 Grand Prize.
Eagle-eyed Hunters who correctly identify the prompt for all 4 weeks will receive a real-life OpenCV AI Scavenger Hunt Merit Badge suitable for adorning your favorite backpack, jacket, or sash (US-only). They will also be eligible for The Grand Prize.
Participants who correctly identify for all for weeks will be entered to win one Grand Prize of $3,000 cash to be announced on OpenCV Weekly Webinar on Thursday, November 10th. Our panel of judges will choose the best hunter from of all 4 weeks!
If you participate in any week and correctly identify the prompt you’ll be entered into this random drawing for $1,000 at the end of the contest. Each prompt you correctly identify gives you an additional chance to win, up to 4 total chances!
If you participate in any week, regardless of if you correctly identified the prompt, you’ll be entered in a random drawing to win $500 at the end of the contest.
If you correctly identify the prompt for the week you’ll be entered into a random drawing to win $125 for that week, announced on OpenCV Weekly Webinar.
Everyone who submits an answer for the week will receive a sticker for social media to share. Let people know you’re playing!
In each Weekly Drop email you’ll receive the following information:
– An AI-generated image created with a certain prompt– Two pictures or video “clues”– Links to two pretrained models/notebooks from the OpenVINO Model Zoo
Your task: Discover the prompt used to generate the image for that week by downloading and running the pretrained OpenVINO models against the Clues. Which model goes with which clue? You’ll have to try them to find out. Then you’ll submit your answer and a screen shot of the AI model results on the Weekly Submission Form.
The deadline: 11:59pm Pacific time on the following Sunday night.
Repeat the hunt for all 4 weeks of October with new clues every Monday!
Prompt: the sea shore in rio de Janeiro, illustration, highly detailed, award winning
Notebook 1: OpenVINO Text Detection Notebook
Notebook 2: OpenVINO Hello World Notebook
pierre m, Shaven L, Misbahud D, Yoichi N, Ivan Felipe R, Viraj H, Christian S, Sathiyanarayanan P, Agung Sidharta S, Marcus K, Zuhal A, Phillip H, Nuray J, cherkeng h, Jeffrey M, Dhruv K, RAJATHITHAN R, Paolo T, Mark G, Aman C, Lei L (Winner of $125 Random Draw), Richmond L, Rudi P, Rohan B, Anthony S
Prompt: A volcano folded in origami style, highly detailed
Notebook 1: OpenVINO Action Recognition notebook
Notebook 2: PaddlePaddle Image Classification with OpenVINO
Peter Y, Agung Sidharta S, Pierre M (Winner of $125 Random Draw), Rudi P, Cherkeng H, Dilesh M, Robin E, Rohan B, Tim G
Prompt: longicorn, modern
Zuhal A, Jeffrey M, Peter Y, Paolo T, Ivan Felipe R, Pierre M, Christian S (Winner of $125 Weekly Prize), Jeffrey M, Lei L, Dilesh M, Phillip H
Prompt: a halloween carved pumpkin with a cute pembroke welsh corgi, unreal engine render
Notebook 1: OpenVINO Hello World Notebook
Notebook 2: OpenVINO Action Recognition notebook
Yoichi N, Ashwini kumar P, Nirzari G, Aman C, Blaz E, Canming H, Misbahud D, Pierre M, Ivan R, Dhruv K (Winner of $125 Weekly Draw), Peter Y, Rajathithan R, Viraj H, Lei L, Zuhal A
The OpenVINO team provides great instructions for installing the Intel Distribution of OpenVINO Toolkit and Model Zoo on macOS, Windows and Linux. The PyPi page also has helpful troubleshooting tips. If you need assistance you can also join the OpenCV Slack community to get help.
The submission form is emailed to all participants Monday morning, or if you register later, immediately after you confirm your email address.
Visit the OpenCV Slack server for assistance from the community.
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