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Utilizing a Convolutional Neural Network (CNN) architecture, the system extracts pertinent features from images and trains a classifier to predict the correct label. With a high accuracy rate exceeding 90%, this system demonstrates efficiency and flexibility in processing large image datasets. The proposed system has far-reaching implications in various applications, including object detection, facial recognition, and medical imaging analysis.\n\nKeywords: Image Recognition, Deep Learning, Convolutional Neural Network (CNN), Computer Vision, Object Detection, Image Classification, Artificial Intelligence (AI), Machine Learning (ML), Neural Networks\n\n### Project include: \n\n1. Synopsis\n\n2. PPT\n\n3. Research Paper\n\n\n4. Code\n\n5. Explanation video\n\n6. Documents\n\n7. Report\n\n\n### Need Code, Documents \u0026 Explanation video ? \n\n## How to Reach me :\n\n### Mail : vatshayan007@gmail.com \n\n### WhatsApp: +91 9310631437 (Helping 24*7) **[CHAT](https://wa.me/message/CHWN2AHCPMAZK1)** \n\n### Website : https://www.finalproject.in/\n\n### Contact me for any kind of help on projects.\n### 1000 Computer Science Projects : https://www.computer-science-project.in/\n\n\nMail/Message me for Projects Help 🙏🏻\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Fimage-recognition-system-deep-learning-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprojects-developer%2Fimage-recognition-system-deep-learning-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Fimage-recognition-system-deep-learning-project/lists"}