SSCMA-Micro is a cross-platform machine learning inference framework designed for embedded devices, serving for Seeed Studio SenseCraft Model Assistant and providing functionalities such as digital image processing, neural network inferencing, AT command interaction, and more.
| Object Detection | Classification | Pose Detection | Segmentation | Anomaly Detection |
|---|---|---|---|---|
| FOMO | IMCLS (MobileNetV2) | PFLD | YOLOv11 Seg | |
| Swift YOLO (YOLOv5) | IMCLS (MobileNetV4) | YOLOv8 Pose | ||
| YOLOv8 | YOLOv11 Pose | |||
| YOLOv11 | ||||
| YOLO World | ||||
| Nidia Det | ||||
| RTMdet |
| TF-Lite | ONNX | Binary Model |
|---|---|---|
| INT8 | HEF Model | |
| UINT8 | CVI Model | |
| UINT16 | ||
| FLOAT32 |
| MCUs | SBCs |
|---|---|
| Espressif ESP32S3 EYE | Hailo AI (Raspberry Pi) |
| Seeed Studio XIAO (ESP32S3) | |
| Seeed Studio Grove Vision AI V1 | |
| Seeed Studio Grove Vision AI V2 | |
| Seeed Studio SenseCAP Watcher | |
| Seeed Studio reCamera |
This project is released under the Apache License.
