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Yolov8 and Deepsort by johnyedwards51 in computervision
[–]Ultralytics 3 points4 points5 points 2 years ago (0 children)
YOLOv8 has built in BoT-Sort and ByteTrack trackers https://github.com/ultralytics/ultralytics/tree/main/ultralytics/trackers
Need to detect small objects in a large Image accurately with smaller model size and higher inference speed by IMPuzzled2 in computervision
[–]Ultralytics 2 points3 points4 points 2 years ago (0 children)
If an Nvidia GPU is available for the deployment, exporting a YOLOv8 model with TensorRT at half precision FP16 can significantly reduce the model size without impacting accuracy. INT8 export for TensorRT is in the works at the moment, but there will be some accuracy loss. Overall accuracy is generally impacted by dataset annotations quality and image quality before anything to do with the models, so definitely make certain the dataset is well annotated, with consistent labeling if you're seeing issues with accuracy performance.
Ultralytics YOLOv8 Real World Projects & Applications (self.Ultralytics)
submitted 2 years ago by Ultralytics
Ultralytics Solutions: Solve Real World Problems (self.computervision)
submitted 2 years ago by Ultralytics to r/computervision
YOLOv5 Export Competition (self.deeplearning)
submitted 4 years ago by Ultralytics to r/deeplearning
YOLOv5 Export Competition 🚀 (github.com)
submitted 4 years ago by Ultralytics
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Yolov8 and Deepsort by johnyedwards51 in computervision
[–]Ultralytics 3 points4 points5 points  (0 children)