Name | Input | DSP Blocks | Learn Blocks | f32_V_Acc | f32_T_Acc | i8_V_Acc | i8_T_Acc | f32_Latency | f32_Flash | i8_Latency | i8_Flash | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
128×128 | Image | FOMO MobileNetV2 0.35 | 97.8% | 98.4% | 97.0% | - | 3 ms. | 114.6K | 6 ms. | 91.0K | ||
|
128×128 | Image | Object detection | 96.1% | 93.0% | 92.8% | - | 3 ms. | 114.6K | 6 ms. | 91.0K | ||
|
128×128 | Image | Object detection | 96.8% | 97.7% | 97.1% | - | 3 ms. | 114.6K | 5 ms. | 91.0K |
Developer Relations
/
Cubes on a conveyor belt - Larger dataset - Rebalance dataset
Public
Experiments
Column settings
Select which columns to show in the impulse list:
Impulse information
Key metrics
Input block config
Processing block config
Learn block config
Accuracy metrics
Send us your feedback!
We're always looking for ways to improve Edge Impulse. If you have any feedback, please let us know!
This field is required
This field is required