YOLO YOLOv5 Top Builders
Explore the top contributors showcasing the highest number of YOLO YOLOv5 app submissions within our community.
YOLOv5 is a family of object detection architectures and models pretrained on the COCO dataset and created By Ultralytics Team in 2020. This architecture uses single Neural Network to process entire image. It divides image into regions and predicts bounding boxes and probabilities for each region. These bounding boxes are weighted by the predicted probabilities. YOLOv5 is available in the Hub as a PyTorch module. You can use it directly in your code or in the Hub.
|Relese date||June 25, 2020|
|Type||Real time object detection|
- YOLOv5 Repository Object detection architectures and models pretrained on the COCO data set
- YOLOv5 Documentation GPT-4 Product description page
- PyTorch Hub
YOLO YOLOv5 Hackathon projects
Discover innovative solutions crafted with YOLO YOLOv5, developed by our community members during our engaging hackathons.
AI Home Design
AI Home Design is an interior design assistant powered by Stable Diffusion and YOLO to solve pain points felt by homeowners. It differs from other AI interior design apps out there because 1) it addresses pain points in homeowners' entire user journey, 2) functions as a social sharing platform, and 3) is an aide to augment, not replace home decor professionals and designers. FIRSTLY, the flagship "Create With AI" feature guides the user in prompt engineering to convert their design hunches from text to actual image, helping them overcome creative blockages. This also improves communication with interior designers, since words can be subjective, but images are direct. SECONDLY, homeowners may want to reimagine a space even after initial fittings like paneling and paint jobs are already done. They cannot tear down these fittings in real life, but they can use Stable Diffusion's image-to-image functionality to reimagine the space. THIRD, AI Home Design also functions as a social sharing platform where users can draw inspiration and start conversations with one another. FINALLY, homeowners still need to furnish and populate their spaces even after they have decided on their designs. This is where YOLO comes in, helping the user to recognise objects, and creating outbound e-commerce links for them to buy items. AI is thus used here to smoothen homeowner-professional interactions and engender connections. Even after the hackathon, I am continually improving the app by creating new features (see slide deck!), such as tools to facilitate discussions, recommenders, or improved object detection. On the technical front, I aim to infuse more powerful models like CLIP, Segment Anything or YOLOv8. On the business front, I am building in-app services to serve new target groups like real estate agents and elder-friendly/disability-friendly retrofitting specialists. Join me on this journey to make interior design more seamless for users, and to use AI in a coherent, impactful way.