AI Image Captioning
Total Images
1,247
Captions Generated
3,891
Avg. Prediction Time
2.3s
Model Accuracy
94.7%
Recent Uploads
A modern workspace setup
Mobile device interface
Developer environment
Daily Requests
Drop images to upload
Drag & drop or click to select multiple images
Workspace Setup
A modern developer workspace with multiple monitors and ambient lighting.
Confidence: 98%
Control Interface
Professional control panel with tactile buttons and LED indicators.
Confidence: 95%
Analytics & Insights
Model Performance Over Time
Current Accuracy
94.7%
Avg Loss
0.12
Top Generated Words
Dataset Filters
0%
85%
100%
Quick Insights
Performance Analytics
Digital Workspace
Real-time Metrics
Key Metrics
Peak Requests/min
847
Avg Latency
280ms
Memory Usage
4.2GB
GPU Utilization
89%
Caption Length Distribution
Prediction Latency
Model Parameters
Model Architecture
ResNet-50 Encoder
Transformer Decoder
Input Layer
224×224×3
Conv2D
7×7, 64
stride 2
Encoder Blocks
50 layers
ResNet-50
2048-dim
Pretrained
Decoder
6 layers
Transformer
512-dim
8 heads
Output Layer
Softmax
FC
10,000 vocab
max 50
Training Configuration
Learning Rate
0.0001
Batch Size
32
Epochs
25
Dropout
0.1
Model Summary
Total Parameters
86.7M
Trainable
25.3M
Non-trainable
61.4M
Model Size
330MB
Versions
v1.5.2
Active
Updated 2 days ago
v1.5.1
Previous
Updated 1 week ago
v1.5.0
Legacy
Updated 2 weeks ago
Export Options
Settings
Appearance
Dark Mode
Model Thresholds
1
5
10
0.1
1.0
2.0
1
50
100
0.1
0.9
1.0
API Keys
Notifications
Email alerts
Slack integration
Discord webhook
SMS alerts
Model Updates
System Info
Version
v2.1.0
Last Updated
2 days ago
Environment
Production
Node Version
v18.17.0
