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🎯 YOLO Object Detection

State-of-the-art object detection with bounding boxes

YOLO Detection Results

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🖼️ Pillow Image Processing

Advanced image manipulation and enhancement

Image Processing Results

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🔬 Combined Analysis

YOLO detection + Pillow processing in one workflow

Combined Analysis Results

Advanced analysis combining YOLO detection with image processing

📊 Image Analysis

Detailed image statistics and properties

Image Statistics

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🏷️ Image Classification

Identify objects and scenes in images

Results

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🎯 Object Detection

Detect and locate objects with bounding boxes

Results

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🎨 Image Segmentation

Pixel-level image understanding

Results

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🧠 CNN Architecture

Visualize convolutional neural network layers

CNN Layer Visualization

Input
224x224x3
Conv1
112x112x64
Pool1
56x56x64
Conv2
56x56x128
Pool2
28x28x128
Dense
1000

Feature maps will be visualized when an image is processed

🔄 Transfer Learning

Adapt pre-trained models for new tasks

Transfer Learning Demo

Pre-trained Model

Frozen layers (gray) retain ImageNet knowledge

Fine-tuned Model

Trainable layers (green) adapt to new task

👁️ Attention Mechanisms

Visualize where the model focuses

Attention Visualization

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🔮 Variational Autoencoder

Encode and decode image representations

VAE Latent Space

Z-Space

⚡ Generative Adversarial Network

Generate synthetic images

GAN Generation

Ready to generate

🔍 Feature Detection

SIFT, SURF, and HOG feature extraction

Feature Statistics
Keypoints Detected: 0
Processing Time: 0ms

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🎨 Neural Style Transfer

Transform images with artistic neural networks

Mosaic

Kandinsky

Udnie

Great Wave

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🧩 Image Segmentation

DeepLab semantic segmentation

Segmentation Results

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🔬 Advanced Analysis

Combined computer vision metrics and analysis

Image Analysis
Image Dimensions: -
Color Depth: -
Dominant Colors: -
Texture Complexity: -
Edge Density: -

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