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Papers tagged with "Vgg"
Automatic Image Captioning System Using CNN-LSTM: A Deep Learning Approach
Automatic Image Captioning Is A Challenging Task At The Intersection Of Computer Vision And Natural Language Processing That Involves Generating Semantically Meaningful Textual Descriptions From Visual Input. This Paper Presents A Deep Lear...
HIGH ACCURACY LIGHTWEIGHT IMAGE CLASSIFICATION USING AN IMPROVED YOLO AND VGG16
Waste Classification Plays A Crucial Role In Sustainable Waste Management By Categorizing Materials Based On Their Type To Ensure Proper Disposal And Recycling. Traditional Waste Sorting Methods, Which Rely Heavily On Manual Labor, Are Time...
DEEP VISION-BASED SMART WASTE SORTING USING VGG16 AND YOLO FOR REAL-TIME APPLICATIONS
Waste Classification Is A Critical Component Of Effective Waste Management, As It Enables Materials To Be Properly Segregated For Disposal, Recycling, And Environmental Protection. Traditional Waste Sorting Methods Largely Depend On Manual...
LUNG TUMOR SEGMENTATION USING VISUAL GEOMETRY GROUP NETWORKS IN MRI IMAGES
Lung Cancer Is One Of The Most Life-threatening Diseases Worldwide, And Early Diagnosis Significantly Increases The Chances Of Survival. Accurate Detection And Classification Of Lung Tumors Remain Challenging Due To Variations In Tumor Size...
Deep Learning Approach For Brain Tumor Classification, Segmentation And Detection
Brain Tumor Detection Remains A Critical Challenge In Medical Diagnostics. This Paper Presents A Comparative Analysis Of Classification-based, Segmentation-based, And Hybrid Deep Learning Approaches For Brain Tumor Diagnosis. The System Emp...
IOT BASED GAS LEAKAGE DETECTION
This Paper Presents A Novel Robot Designed As A First Response To Fire And Hazardous Chemicals In Homes. Equipped With Gas And Flame Sensors, GSM Alerting, And Fire Extinguishing Capabilities, The Robot Autonomously Detects Threats And Send...
MELANOMA SKIN CANCER PREDICTION
Melanoma Cancer, Specifically Melanoma, Represents A Significant Public Health Concern Due To Its Potentially Aggressive Nature. Early Detection And Accurate Diagnosis Are Crucial In Improving Patient Outcomes. In Recent Years, Machine Lear...
Covid 19 Recognition using Deep Learning Algorithm
Because Of The COVID-19 Epidemic, The Whole Globe Is Now Experiencing A Health Catastrophe That Is Unprecedented In Its Sort. Researchers Are Worried About Finding Ways To Halt The Pandemic And Preserve Lives As The Coronavirus Spreads. The...
APPLICATION OF DEEP LEARNING TO COMPUTER VISION : A STUDY
Gradually Traditional Machine Learning Algorithms Are Being Replaced With Deep Learning As It Exhibits Strong Advantages In The Feature Extraction, Thus Been Widely Used In The Field Of Computer Vision And Among Others. The Usability Of Com...
COMPARISON STUDY OF VGG16 AND INCEPTIONV3 TRANSFER LEARNING MODELS FOR CLASSIFICATION OF PLANT LEAF DISEASE
Early Diagnosis Of Plant Diseases Carried Out By Professionals In Laboratory Trials Is Usually Not Suitable For Quick And Affordable Performance. Using Deep Learning, Leaf Images Are Used As Information Input. Training Deep Learning Models...
DEEP LEARNING APPROACHES TO DETECT COVID-19 USING CHEST X-RAYS
Novel Corona Virus Disease Called Covid-19 Is An Infectious Disease Caused By Newly Discovered Corona Virus, Which Causes The Difficulty In Breathing, Chest Pain And Loss Of Movements Or Speech. Approximately There Are 175 Million Confirmed...
CURRENCY DETECTION USING OPENCV
The Determination Of Currency Denomination Is An Issue In Paper Currency Recognition Systems. This Paper Proposes A Robust Method To Recognize The Paper Currency Using The Pattern Matching. In The Proposed Algorithm A Similarity Measure Is...
DEEP CONVOLUTIONAL NEURAL NETWORKS-BASED AGE AND GENDER CLASSIFICATION WITH FACIAL IMAGES
We Build An Age And Gender Classification System To Classify Age And Gender With The Help Of Deep Learning Framework. Automatic Age And Gender Classification Has Become Relevant To An Increasing Amount Of Applications, Particularly Since Th...