NE301 Verified Models

NE301 is based on the STM32N6 NPU and supports TFLite Int8 quantized model inference. The tables below list all models verified on actual devices.

Hardware Constraints

Parameter	Value	Parameter	Value
NPU	STM32N6, TFLite Int8	Max Resolution	480×480
Input Format	uint8, RGB888	Model Storage	10 MB (2 partitions, 5MB each)
Simultaneous Load	1 model	Output Quantization	`_uf`=float32, `_ui`=int8

Download file descriptions:

tflite — Original TFLite weight file for secondary development or model analysis

json — NE301 model configuration file defining input specs, post-processing type, and inference parameters

bin — NE301 OTA firmware package, deploy directly via the Web UI

1. General Object Detection (COCO 80 Classes)

Supports 80 categories including person, vehicle, animal, furniture, etc. _uf offers higher precision, _ui is ~10% faster.

Architecture	Size	Quant	Size	Verification Result	Model Files	OTA Package	License
YOLOv8n	256×256	_uf	3.2MB	● zebra 95% 1 detection	tflite json	bin	AGPL-3.0
YOLOv8n	256×256	_ui	3.2MB	● zebra 95% 1 detection	tflite json	bin	AGPL-3.0
ST YOLO-X	480×480	int8	2.4MB	● person 99.9% ● person 99.9% ● person 99.8% ● person 80% 4 detections	tflite json	bin	SLA0044

2. Person Detection

Detects only the "person" category with lighter post-processing.

Architecture	Size	Quant	Size	Verification Result	Model Files	OTA Package	License
YOLOv8n	256×256	_uf	3.1MB	● person 90% 1 detection	tflite json	bin	AGPL-3.0
YOLO11n	256×256	_uf	3.0MB	● person 92% 1 detection	tflite json	bin	AGPL-3.0

3. Pose Estimation

Each detected person outputs 17 keypoints (COCO keypoint format), suitable for action recognition and pose analysis scenarios.

Architecture	Size	Quant	Size	Verification Result	Model Files	OTA Package	License
YOLOv8n Pose	256×256	_uf	3.4MB	● pose 1 · 87% · 17 keys ● pose 2 · 81% · 17 keys ● pose 3 · 77% · 17 keys 3 poses	tflite json	bin	AGPL-3.0

4. Meter Reading Detection

Detects digits (0-9) on meter displays, suitable for water, electricity, and gas meter reading scenarios.

Architecture	Size	Quant	Size	Verification Result	Model Files	OTA Package	License
YOLOv8n	256×256	_ui	3.1MB	● "0" 81% ● "0" 74% ● "0" 57% ● "0" 33% ● "3" 43% ● "5" 30% ● "5" 21% 7 detections	tflite json	bin	AGPL-3.0

Model Deployment

Two types of files are available for download from the tables above:

tflite + json: For custom development, requires self-compilation into a firmware package before deployment. See the Model Training and Deployment Guide
bin: Ready-to-use OTA firmware package, see the Quick Start Guide for details. Upload via Feature Debugging → upload or System Setting → Firmware Upgrade

More models are being adapted, stay tuned.

Document version: v1.2 · Last updated: 2026-05-28

Hardware Constraints​

1. General Object Detection (COCO 80 Classes)​

2. Person Detection​

3. Pose Estimation​

4. Meter Reading Detection​

Model Deployment​