Real Time Object Tracking using YOLOv8 on Custom Dataset: Vehicles Counting (Entering and Leaving)

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#yolo #yolov8 #objectdetection #objectracking #opencvpython #opencv #computervision #machinelearning #artificialintelligence #deepsort #multiobjecttracking#deeplearningproject #deepsort #deeplearning #customdataset

Real-Time Object Detection and Tracking using YOLOv8 on Custom Dataset with Vehicles Counting (Vehicles Entering and Leaving)
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Github Repo:
  1. Muhammad Moin
  2. yolov8
  3. yolo
  4. objectdetection
  5. computervision
  6. trafficanalysis
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muhammadmoinfaisal
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Hello, thank you for the video, could you please tell me what is the format of the labels ? json or txt ? I couldn't have access to your dataset via roboflow...

sarahch
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Amazing tutorial and amazing work. I just have one question: why are your validation losses flat? Aren't they supposed to decrease just like the training losses? Thank you in advance for your explanation.

RobertaStellino
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sir please implement this on kaggle dataset and make video because it contain command which we never seen before like %cd {HOME}... so sir please understand code also

shinwarikhan
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sir it work when this dataset is from robonflow but when we download it from kaggle it cannot work it show alot of error

shinwarikhan
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Hi Sir, I having an error code below when i trying to train it with my own custome data, may i know is there any solution to solve it? Thanks in advance!


Traceback (most recent call last):
File "/content/YOLOv8_Segmentation_DeepSORT_Object_Tracking/ultralytics/yolo/v8/segment/train.py", line 17, in <module>
from ..detect.train import Loss
ImportError: attempted relative import with no known parent package

Secret-eorz
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Importing the Dataset from the RoboFlow => this step does not work with me it return run time error what is problem??

howidamansour