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Merge pull request #845 from Panchadip-128/Added-Object-Detection-usi…
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…ng-COCO-Dataset-with-the-help-of-advanced-YOLO_v5-model

Added object detection using coco dataset with the help of advanced yolo v5 model
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UppuluriKalyani authored Nov 9, 2024
2 parents 201d97e + 2e8e0c3 commit 1c06c49
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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
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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/
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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

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