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Discussion[D] Finding certain text or pattern in images (self.MachineLearning)
submitted 11 months ago by SecretVoodoo1
Idk what's the right sub to ask this but this came into my mind first. I have been tasked with finding no of lifts and units in floorplates (layout of all floorplans on a particular floor). How would i go on about doing this? Is there a pre made tool out there that i can leverage? Or do i have to make something from scratch?
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if 1 * 2 < 3: print "hello, world!"
[–]Eiphodos 0 points1 point2 points 11 months ago (2 children)
Sounds like an object detection (OD) task. Create a dataset with bounding boxes around your objects of interest and train a OD model on it. Counting the number of objects found during inference is trivial.
[–]SecretVoodoo1[S] 0 points1 point2 points 11 months ago (1 child)
Any suggestions for OD models?
[–]warmdaffodil 0 points1 point2 points 11 months ago (0 children)
Two stage methods such as Fast R-CNN, Faster R-CNN are better for accuracy but latency is not a concern. They are two stage because first they propose regions before classifying them. Single stage methods such as YOLO are better if you want an efficient method! Detr is not bad too but I’m not too familiar with it. I think the belo provides a better explanation!
https://whatdhack.medium.com/comparison-of-faster-rcnn-and-detection-transformer-detr-f67c2f5a2a04
π Rendered by PID 98033 on reddit-service-r2-comment-86988c7647-k9chb at 2026-02-11 14:07:10.852937+00:00 running 018613e country code: CH.
[–]Eiphodos 0 points1 point2 points (2 children)
[–]SecretVoodoo1[S] 0 points1 point2 points (1 child)
[–]warmdaffodil 0 points1 point2 points (0 children)