Added object detection using coco dataset with the help of advanced yolo v5 model

Computer Vision/Object detection using COCO dataset with YOLO_v5 advanced model/README.md

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+# Project Title: Object Detection with YOLOv5
+
+Project Description:
+--------------------
+This project implements an object detection system using the YOLOv5 (You Only Look Once) model. YOLOv5 is a state-of-the-art, real-time object detection algorithm that is both fast and accurate. This system can detect multiple objects in images or video streams and can be further fine-tuned for custom datasets. It includes training the YOLOv5 model, evaluating it on a test dataset, and running real-time inference.
+
+Features:
+---------
+Real-time object detection on images and video streams.
+Training the YOLOv5 model on custom datasets.
+Evaluation using key metrics such as Precision, Recall, Intersection over Union (IoU), and Mean Average Precision (mAP).
+Deployment for detecting objects in images and video streams (GPU requirements for this case is much preferrable)
+Model robustness testing with image augmentations.
+
+Requirements:
+--------------
+Python 3.7+
+PyTorch 1.7+
+YOLOv5 (via the ultralytics/yolov5 repository)
+Common libraries:
+numpy
+opencv-python
+torch
+pillow
+matplotlib
+albumentations

Computer Vision/Object detection using COCO dataset with YOLO_v5 advanced model/coco_img_YOLO_model

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+

Computer Vision/Object detection using COCO dataset with YOLO_v5 advanced model/gitignore.txt

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+__pycache__/
+*.py[cod]
+*.so
+
+.ipynb_checkpoints/
+
+# Python virtual environments
+env/
+venv/
+
+# YOLOv5 Weights
+*.pt
+runs/
+weights/
+
+
+*.log
+
+
+*.o
+*.a
+*.out
+*.exe
+
+# Data files
+data/
+*.csv
+*.json
+
+# System files
+.DS_Store
+Thumbs.db
+
+# PyCharm/IDEA
+.idea/
+
+# Visual Studio Code
+.vscode/

Computer Vision/Object detection using COCO dataset with YOLO_v5 advanced model/requirements.txt

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+torch>=1.7.0
+torchvision>=0.8.0
+matplotlib>=3.2.2
+numpy>=1.18.5
+opencv-python>=4.1.2
+pillow>=7.1.2
+PyYAML>=5.3.1
+tqdm>=4.64.0
+scipy>=1.4.1
+tensorboard>=2.4.1
+seaborn>=0.11.0
+pandas>=1.1.4
+albumentations>=0.5.2
+ipython>=7.16.1
+jupyterlab>=2.1.5
+requests>=2.23.0