i trained this computer vision model just by asking... for "tennis players", using roboflow rapid and SAM3 the model picks out Alcaraz and Sinner, while correctly avoiding the ball boys and fans then I exported the model to python and wrote a script to filter the data, track movement history, and annotate the final video this was a quick experiment but I could expand the project to track player speeds, distance covered, shot count, etc. could use this for a sports analytics app that tracks live matches and calculates custom metricsshow more

typing "player with a red shirt" was all it... took to train this computer vision model just a few minutes to train the model, export to python, and create this video i'll keep testing roboflow rapid and will report back with the results in the meantime, enjoy the magic of Zlatanshow more

People counting in zones using Ultralytics YOLO26 🧑‍🤝‍🧑 In... this demo, people are moving on elevators. I used a custom-trained YOLO26 model to detect and track each person, then applied the object counting in zones solution to count the number of people within each zone. 🙂 #people #retail #MachineLearningshow more

i'm building an AI soccer coach to improve my... shooting using: - roboflow RF-DETR to detect the ball / net / player - mediapipe to record body angles when striking the ball - python to analyze and annotate the video i'll also try adding a VLM into the pipeline for coaching feedbackshow more

another experiment with fruit, computer vision, and projection mapping... live object detections (roboflow RF-DETR model) are used to control the animated scene (threejs) i also added mediapipe segmentation to the pipeline to create collisions with my silhouette, but i haven't gotten a hang of it yet more experiments are underwayshow more

My 3D Model of Malevola from Dispatch is finally... finished! This was a super fun project, I learned how to use hair curves for the first time and also 3D printed the full model! Have a look at the full process video! #blender #b3d #dispatchshow more

Football players detection + tracking using Ultralytics YOLO26 ⚽️... It took me 30 minutes to train the YOLO26 model on a custom dataset using Ultralytics Platform. Later, I used the object tracker (Bytetrack) for tracking the players; tracking could be improved further, and I am working on it this week. More info 👇 #soccer #football #MachineLearningshow more

Probably the first of a kind... a Substrate node... executing a Plutus script to validate an UTxO transaction. This is a project by TxPipe called Griffin, a Substrate-based framework for building app-chains using the eUTxO model and the Plutus language. Cardano devs can use it to build partnerchains that leverage their exiting expertise around UTxO programmability.show more

CLIMATE EMERGENCY - This man is lying! The spokesman... for Just Stop Oil states that the planet was the hottest it’s been in 100, 000 years! But this wasn’t a measurement. It was a computed average from a computer model! (Think Covid) And the data only goes back to 1940 🤡show more

This is the vision im trying to achieve -... I need to be able to change the name - not just the title and pretending its the name :( I COULD use after effects but I am dumb and would rather not have toshow more

this is the BEST vision language model I have... ever tried! Aria is a new model by Rhymes.AI: a 25.3B multimodal model that can take image/video inputs 🤩 They release the model with Apache-2.0 license and fine-tuning scripts as well 👏 I tested it extensively, keep reading to learn more 🧶show more

Went out to eat with the boys tonight and... when the waitress asked for some ID when I ordered a margarita, this video was all I could think about bro I’m COOKEDshow more

Will and i hear u that there’s been trauma... in the space surrounding demo track direct copying but i just wanted to make a video game style track for fun and the shadow pack came thru at the time with this sample. i tour hella people go off when i drop itshow more

here's the model I made for Porcelain Maid during... RIGGED! The one and only podcast where the guest leaves with a free scuff model! Was really fun having you on! This took 1 hr and 43 minutes to makeshow more

And here's the actual model, just wanted to test... what I could get done from scratch in a couple daysshow more

I really think that this smoke could be giga... useful to help save your B anchors utility for longer and I think the A player could reliably throw it and not be too late if you have a highway player by default(he'd hear the rush)show more

seedance 2.0 is now the best model for AI... UGC this video was free and took me 30 seconds to make it handles realism better than any model ive seen yet, and it understands different creative styles i gave it a very vague prompt then it handled the rest now imagine what you could do with more reference photos, detailed structured prompting etc lots of possibilities with thisshow more

Pothole detection on the road in real time using... Ultralytics YOLO26! 🕳️ Manual road inspections are slow, costly, and hard to scale. With object detection, potholes can be identified directly from street-level images or video feeds, enabling faster and more consistent road condition monitoring. How I built this demo: ✅ Trained a segmentation model on a custom dataset. ✅ Generated mask contours for each pothole. ✅ Leveraged the onnx-exported model for faster processing. #Pothole #RoadDamage #AIshow more

I got horribly sick over the holiday and have... been especially drained this week. So while I was only able to make one thing... I feel like this fits with the new year and the fact that I could use a reset myself 😅 #RobloxUGC #Robloxshow more

I built an app to simulate the 2026 NCAA... tournament! It uses historical data, KenPom rankings, game locations, and more to determine the win probability. ...but then has an AI model review the results and prompt for the reality of March Madness, unpredictable!show more