| Model Type | Image Super Resolution |
|---|---|
| Framework | LiteRT (TensorFlow Lite) |
| Algorithm | EDSR |
| Technical Details | Uses generative and residual architectures to reconstruct high-resolution images from low-resolution inputs. Supports real-time enhancement modes. Tuned for visual quality and performance on embedded devices. |
Image Super Resolution
Deep learning system to upscale and enhance low-resolution images while preserving fine details.
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$0.00
Image Super Resolution
app details
Resources
Use Cases
Surveillance
Performance Benchmark
Hardware
Latency (ms)
Memory Usage
Processing unit
SECO SOM-SMARC-QCS6490
16.88 ms
25.06 MB
CPU
SECO SOM-SMARC-QCS6490
1.57 ms
25.06 MB
NPU
Image Classification
Efficient CNN model for image classification on mobile and embedded edge devices.
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