Python
AI
2010
ID: 1CP0646
A Method Applied to Animal Detection by Yolo Coco Model Using Images
Keywords:
YOLO,
COCO
Dataset,
Animal
Detection,
Computer
Vision,
Deep
Learning,
Image
Processing
Project Synopsis & Overview
This project applies the YOLO object detection model with the COCO dataset to identify animals in images. The system processes input images, detects animal instances, and draws bounding boxes with class labels and confidence scores. By using computer vision and deep learning, it supports automated animal recognition, reduces image inspection, and can assist wildlife monitoring, image analysis, and animal detection applications.
Complete Technical Specifications
| Project ID | 1CP0646 (DB ID: 646) |
| Project Title | A Method Applied to Animal Detection by Yolo Coco Model Using Images |
| Domain Division | Python |
| Sub-Domain / Tech | AI |
| IEEE Year | 2010 |
| Package Price | ₹6500 |
| Created Date | Oct 23, 2026 |
Project Price
₹6500
₹8000
20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
Buy Full Project Now (₹6500)
Add Full Project to Cart
Add PPT Presentation Only (₹500)
Instant WhatsApp Enquiry
Need Help or Customization?
Call or WhatsApp our technical lead directly at +91 79043 20834
Related Python Projects
Python
2023
Defensive Modeling of Fake News Through Flask Framework in Python
Fake
News
Detection,
Flask
Framework,
Machine
Learning,
Natural
Language
Processing,
TF-IDF,
Text
Classification,
Misinformation,
Python
Python
2023
Digital Voting Platform Developed with the Django Framework Utilizing Python
Online
Voting
System,
E-Voting,
Django
Framework,
Python,
Admin
Panel,
Voter
Authentication,
Face
Recognition,
Election
Management
Python
2023
Detection of Object Measurements Through OpenCV and Machine Learning with Python
Object
Measurement,
OpenCV,
Canny
Edge
Detection,
Contour
Detection,
Computer
Vision,
Image
Processing,
Python,
Object
Dimensionin
Python
2023
Detection of Breast Cancer Utilizing the Streamlit Framework with Deep Learning
Breast
Cancer
Detection,
Deep
Learning,
VGG16,
Streamlit
Framework,
Python,
MRI
Images,
Benign
Malignant
Classification,
Early
Diagnosis