YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
that's the inference example from https://github.com/ultralytics/yolov5, it takes an image and prints the found bounding boxes. if you want to know how accurate your trained model is you can compare the bounding boxes annotated by a human with your predicted bounding boxes. does that clear things up for you?
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Use YOLOv5 tensorflow.js models to speed up annotation
2 projects | reddit.com/r/computervision | 3 Oct 2022
This is working so much better than it was before. I basically had started from the beginning and added another thousand images, annotated by hand, of the school bus. It's just like they always say, if things aren't working as well as you'd like, start with the data.
1 project | reddit.com/r/computervision | 27 Sep 2022
YOLOv5 Classification and Segmentation release wdyt?
1 project | reddit.com/r/computervision | 23 Sep 2022
Being a beginner, I hate to post here, but I'm at a lost. Can't get custom dataset from Roboflow to detect anything.
1 project | reddit.com/r/computervision | 23 Aug 2022
Camerabot 2000- fine-tuning parameters for my smart-shop primary camera.
1 project | reddit.com/r/robotics | 29 Jul 2022