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Object detection using YOLO v4 and pre trained model | Deep Learning Tutorial 32 (Tensorflow)

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In this video we will use YOLO V4 and use pretrained weights to detect object boundaries in an image. The model was trained on COCO dataset using YOLO V4.
Make sure you are installing a compatible version of CUDA. For me it was CUDA 10.1, when I installed 11.x version I was getting all kind of errors so had to downgrade it to 10.1 Based on your system you might have to use a different version
COCO labels:
YOLO research papers
#objectdetectionusingyolo #yoloobjectdetection #yolov4objectdetection #yoloalgorithm #yolov4 #yolodeeplearning
#️⃣ Social Media #️⃣
❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
Make sure you are installing a compatible version of CUDA. For me it was CUDA 10.1, when I installed 11.x version I was getting all kind of errors so had to downgrade it to 10.1 Based on your system you might have to use a different version
COCO labels:
YOLO research papers
#objectdetectionusingyolo #yoloobjectdetection #yolov4objectdetection #yoloalgorithm #yolov4 #yolodeeplearning
#️⃣ Social Media #️⃣
❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
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