@andy_chen781

Y-Detective aims at providing automated, scalable, fast, and parallelized object detection and image selection functionalities for a variety of scenarios, such as media production, customer supoort, crime detection, and so on. Combining computer vision and natural language processing techniques, the program is able to understand both the contents of images and the user's requirements or descriptions in words. As mentioned, the program contains two main parts: 1. Finding multiple objects from an image and create automatic crops based on user requirements, and 2. Selecting the images from a large set (10~100 images) matching user's descriptions most closely.

Explore Innovations in Language Processing and Image Generation! 🕒 72 hours to complete the challenge 💡 Create revolutionary tourism and culture apps 🤝 Take part alone or form a team with other participants 🚀 The final project can be used for your portfolio, and the startup application to the Slingshot accelerator 🏆 Win cash prizes, cloud credits, incubation & collaboration opportunities to develop your project further!

🚀 Access Models with Clarifai Get access to advanced models released by OpenAI recently through Clarifai platform! Build with the Latest Technology Today - GPT-4(Vision), Assistants API, Text to Speech, GPT-4 Turbo, Image Generation DALL·E API!

At this event, you are challenged to create your own product with the Mixtral 8x7B LLM that overperformed GPT 3.5, and Llama 2 70B on most of the benchmarks. 🕒 24 hours to complete the challenge 💡 Implement any idea that uses Mixtral 8x7B in its core 🤝 Take part alone or form a team with other participants 🚀 The final project can be used for your portfolio, and the startup application to the Slingshot accelerator