Ayush Chaurasia’s Post

Great talk by David Kjerrumgaard about building event-driven applications on top of #ApachePulsar Functions. David, could you please double my memory size? By the way, do you see this tiny friendly ScyllaDB jellyfish in the background? If Pulsar someday gets a mascot, that would make us all smile ☺️ who could it be? Suggest options! #PulsarSummit

Want to see the industry's only fully automated, context-aware cropping solution in action? Check out Cloudinary's interactive demo to see how our Automatic Crop solution can ID the optimal crop and resize for any image, taking into account its content, context, and the specified device’s dimensions or aspect ratio. Try it out: https://ow.ly/4paN30sBp2o

Want to see the industry's only fully automated, context-aware cropping solution in action? Check out our interactive demo to see how our Automatic Crop solution can ID the optimal crop and resize for any image, taking into account its content, context, and the specified device’s dimensions or aspect ratio. Try it out: https://ow.ly/i3Fu50QSviJ

Want to see the industry's only fully automated, context-aware cropping solution in action? Check out Cloudinary's interactive demo to see how our Automatic Crop solution can ID the optimal crop and resize for any image, taking into account its content, context, and the specified device’s dimensions or aspect ratio. Try it out: https://ow.ly/p12h30sBgiH

Want to see the industry's only fully automated, context-aware cropping solution in action? Check out Cloudinary's interactive demo to see how our Automatic Crop solution can ID the optimal crop and resize for any image, taking into account its content, context, and the specified device’s dimensions or aspect ratio. Try it out: https://ow.ly/K7t430sB3ww

Want to see the industry's only fully automated, context-aware cropping solution in action? Check out Cloudinary's interactive demo to see how our Automatic Crop solution can ID the optimal crop and resize for any image, taking into account its content, context, and the specified device’s dimensions or aspect ratio. Try it out: https://ow.ly/yUH330sB26c

Want to see the industry's only fully automated, context-aware cropping solution in action? Check out Cloudinary's interactive demo to see how our Automatic Crop solution can ID the optimal crop and resize for any image, taking into account its content, context, and the specified device’s dimensions or aspect ratio. Try it out: https://ow.ly/m4Rr30sAUZl

🌐✨Translate your files into the language of your choice in seconds and manage your business quickly with Cere Insight! Learning your preferences and responding instantly, Cere Insight makes your work more effective 🚀 Meet Cere Insight'a user-friendly interface and customizable features today 🤖 https://lnkd.in/dsX6jJaW

Yolo project: I have trained a Yolo project to detect chocolates on a conveyor belt. I found a raw video on a website and took it for my project. convert that video to images using moviepy. After that process the labeling was an issue, for this, I used a grounding dino, but the issue is that the grounding dino labeled my images as whole conveyor belt as one chocolate as shown in an image. #your #suggestion #required if the data(raw-video) is low quality because the chocolates are not showing like chocolates or if I have some issues applying grounding dino to the data for labeling it. After this project's completion, I will generate my data for object detection and will perform the same steps on that.

Take a closer look at TrueFruit Grade! Explore how our dashboard simplifies fruit measurement, providing clear insights into size, color, and blemish percentages across each block. Click through and learn how TrueFruit Grade helps you measure what matters. Link to demo: https://hubs.li/Q02VYZl20