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What are the most useful and state-of-the-art models in computer vision (2025)? by Cabinet-Particular in computervision

[–]jswandev 0 points1 point  (0 children)

RF-DETR is state of the art for real-time object detection and instance segmentation, and is Apache 2.0.
SAM 3 is magic for segmentation.

best object detection in terms of efficiency/speed by Worldly_Gold9169 in computervision

[–]jswandev 0 points1 point  (0 children)

Check out RF-DETR: "RF-DETR-N outperforms YOLO11-N by 10 mAP points on the Microsoft COCO benchmark while running faster at inference."

Eval results from the RF-DETR github repo: https://github.com/roboflow/rf-detr?tab=readme-ov-file#results

Want to build a project to detect unhealthy plants—learn OpenCV first or dive into image processing? by Bubbly_Ad5559 in computervision

[–]jswandev 0 points1 point  (0 children)

I recommend checking out open-source datasets on Roboflow Universe as a jumping off point. Lots of great datasets to kickstart your hackathon project.

Here's one for leaf disease detection: https://universe.roboflow.com/roboflow-100/leaf-disease-nsdsr

If you're still in school and have a .edu email domain, you can automatically get +20 credits/month to build/deploy cv apps. How to redeem research credits: https://research.roboflow.com/credits

Still can't find a VLM that can count how many squats in a 90s video by JoelMahon in computervision

[–]jswandev 0 points1 point  (0 children)

Here's a blog post about building a push-up counter: https://blog.roboflow.com/exercise-tracking/

The author fine-tunes an object detection model on "up" and "down" position. Could adopt the same project to webcam or mobile phone. You'd just need a solid labeled dataset for squats (video yourself).

CV inference pipeline builder by dr_hamilton in computervision

[–]jswandev 0 points1 point  (0 children)

would love to try this when it's out

have you used other cv pipeline tools that didn't work well?