Choose a different model
or can even bring your own model (in PyTorch, Keras or scikit-learn).
Model | Author | |
---|---|---|
MobileNetV2 SSD FPN-Lite (320x320 only)
|
Edge Impulse
|
|
FOMO (Faster Objects, More Objects) MobileNetV2 0.1
|
Edge Impulse
|
|
FOMO (Faster Objects, More Objects) MobileNetV2 0.35
|
Edge Impulse
|
|
YOLOv5(added by Solomon Githu)
|
Edge Impulse Experts
|
|
YOLOx
|
Edge Impulse Experts
|
|
YOLOv5 for Renesas DRP-AI
|
Renesas
|
|
YOLOv5
|
Community blocks
|
|
YOLOX for TI TDA4VM
|
Texas Instruments
|
|
NVIDIA TAO RetinaNet
|
Edge Impulse Inc.
|
|
NVIDIA TAO YOLOV3
|
Edge Impulse Inc.
|
|
NVIDIA TAO YOLOV4
|
Edge Impulse Inc.
|
|
NVIDIA TAO SSD
|
Edge Impulse Inc.
|
Train on GPUs
Object detection - Manage block versions
List of block versions ()
Note
To use an Input block version, connect it to a DSP block version using the Manage versions dialog on a DSP block page. The starred Input block version is the one connected to the Primary learn block, via a DSP block.
Note
To use a DSP block version, connect it to a Learn block version using the Manage versions dialog on a Learn block page. The starred DSP block version is the one connected to the Primary learn block.
Note
The Primary learn block version is the one that will be used when a project is deployed. When you set a Learn block version to Primary, any DSP and Input block versions it connects to will automatically be selected for deployment.