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---
license: other
license_name: sla0044
license_link: >-
https://github.com/STMicroelectronics/stm32ai-modelzoo/raw/refs/heads/main/pose_estimation/LICENSE.md
pipeline_tag: keypoint-detection
---
# MoveNet quantized
## **Use case** : `Pose estimation`
# Model description
MoveNet is a single pose estimation model targeted for real-time processing implemented in Tensorflow.
The model is quantized in int8 format using tensorflow lite converter.
## Network information
| Network information | Value |
|-------------------------|-----------------|
| Framework | TensorFlow Lite |
| Quantization | int8 |
| Provenance | https://www.kaggle.com/models/google/movenet
| Paper | https://storage.googleapis.com/movenet/MoveNet.SinglePose%20Model%20Card.pdf |
## Networks inputs / outputs
With an image resolution of NxM with K keypoints to detect :
- For heatmaps models
| Input Shape | Description |
| ----- | ----------- |
| (1, N, M, 3) | Single NxM RGB image with UINT8 values between 0 and 255 |
| Output Shape | Description |
| ----- | ----------- |
| (1, W, H, K) | FLOAT values Where WXH is the resolution of the output heatmaps and K is the number of keypoints|
- For the other models
| Input Shape | Description |
| ----- | ----------- |
| (1, N, M, 3) | Single NxM RGB image with UINT8 values between 0 and 255 |
| Output Shape | Description |
| ----- | ----------- |
| (1, Kx3) | FLOAT values Where Kx3 are the (x,y,conf) values of each keypoints |
## Recommended Platforms
| Platform | Supported | Recommended |
|----------|-----------|-------------|
| STM32L0 | [] | [] |
| STM32L4 | [] | [] |
| STM32U5 | [] | [] |
| STM32H7 | [] | [] |
| STM32MP1 | [x] | [] |
| STM32MP2 | [x] | [x] |
| STM32N6 | [x] | [x] |
# Performances
## Metrics
Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
### Reference **NPU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
|Model | Dataset | Format | Resolution | Series | Internal RAM (KiB)| External RAM (KiB) | Weights Flash (KiB) | STEdgeAI Core version |
|----------|------------------|--------|-------------|------------------|------------------|---------------------|-------|-------------------------|
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8.tflite) | COCO-Person | Int8 | 192x192x3 | STM32N6 | 914.88 | 0.0 | 2304.0 | 3.0.0 |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8.tflite) | COCO-Person | Int8 | 224x224x3 | STM32N6 | 1239.04 | 0.0 | 2304.0 | 3.0.0 |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8.tflite) | COCO-Person | Int8 | 256x256x3 | STM32N6 | 1607.68 | 0.0 | 2304.0 | 3.0.0 |
### Reference **NPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
| Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STEdgeAI Core version |
|--------|------------------|--------|-------------|------------------|------------------|---------------------|-------|-------------------------|
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8.tflite) | COCO-Person | Int8 | 192x192x3 | STM32N6570-DK | NPU/MCU | 22.05 | 45.35 | 3.0.0 |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8.tflite) | COCO-Person | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 27.64 | 36.18 | 3.0.0 |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8.tflite) | COCO-Person | Int8 | 256x256x3 | STM32N6570-DK | NPU/MCU | 35.50 | 28.17 | 3.0.0 |
### Reference **MPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
| Model | Dataset | Format | Resolution | Quantization | Board | Execution Engine | Frequency | Inference time (ms) | %NPU | %GPU | %CPU | X-LINUX-AI version | Framework |
|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------|--------|------------|----------------|-------------------|------------------|-----------|---------------------|-------|-------|------|--------------------|-----------------------|
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8.tflite) | custom_coco_person_17kpts | Int8 | 192x192x3 | per-channel** | STM32MP257F-EV1 | NPU/GPU | 800 MHz | 55.81 | 2.87 | 97.13 | 0 | v6.1.0 | OpenVX |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8.tflite) | custom_coco_person_17kpts | Int8 | 224x224x3 | per-channel** | STM32MP257F-EV1 | NPU/GPU | 800 MHz | 79.41 | 2.41 | 97.59 | 0 | v6.1.0 | OpenVX |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8.tflite) | custom_coco_person_17kpts | Int8 | 256x256x3 | per-channel** | STM32MP257F-EV1 | NPU/GPU | 800 MHz | 68.42 | 3.32 | 96.68 | 0 | v6.1.0 | OpenVX |
| [ST MoveNet Lightning heatmaps per-tensor](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8_per_tensor.tflite) | custom_coco_person_17kpts | Int8 | 192x192x3 | per-tensor | STM32MP257F-EV1 | NPU/GPU | 800 MHz | 8.20 | 82.06 | 17.94 | 0 | v6.1.0 | OpenVX |
| [ST MoveNet Lightning heatmaps per-tensor](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8_per_tensor.tflite) | custom_coco_person_17kpts | Int8 | 224x224x3 | per-tensor | STM32MP257F-EV1 | NPU/GPU | 800 MHz | 11.63 | 83.75 | 16.25 | 0 | v6.1.0 | OpenVX |
| [ST MoveNet Lightning heatmaps per-tensor](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8_per_tensor.tflite) | custom_coco_person_17kpts | Int8 | 256x256x3 | per-tensor | STM32MP257F-EV1 | NPU/GPU | 800 MHz | 13.10 | 81.39 | 18.61 | 0 | v6.1.0 | OpenVX |
| [MoveNet Lightning](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/Public_pretrainedmodel_custom_dataset/custom_dataset_person_17kpts/movenet_lightning_a100_192/movenet_singlepose_lightning_a100_192_int8.tflite) | custom_dataset_person_17kpts| Int8 | 192x192x3 | per-channel** | STM32MP257F-EV1 | NPU/GPU | 800 MHz | 63.80 | 6.58 | 93.42 | 0 | v6.1.0 | OpenVX |
| [MoveNet Thunder](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/Public_pretrainedmodel_custom_dataset/custom_dataset_person_17kpts/movenet_thunder_a100_256/movenet_singlepose_thunder_a100_256_int8.tflite) | custom_dataset_person_17kpts| Int8 | 256x256x3 | per-channel** | STM32MP257F-EV1 | NPU/GPU | 800 MHz | 183.49 | 3.47 | 96.53 | 0 | v6.1.0 | OpenVX |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8.tflite) | custom_coco_person_17kpts | Int8 | 192x192x3 | per-channel | STM32MP157F-DK2 | 2 CPU | 800 MHz | 315.44 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8.tflite) | custom_coco_person_17kpts | Int8 | 224x224x3 | per-channel | STM32MP157F-DK2 | 2 CPU | 800 MHz | 416.98 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8.tflite) | custom_coco_person_17kpts | Int8 | 256x256x3 | per-channel | STM32MP157F-DK2 | 2 CPU | 800 MHz | 533.61 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps per-tensor](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8_per_tensor.tflite) | custom_coco_person_17kpts | Int8 | 192x192x3 | per-tensor | STM32MP157F-DK2 | 2 CPU | 800 MHz | 424.77 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps per-tensor](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8_per_tensor.tflite) | custom_coco_person_17kpts | Int8 | 224x224x3 | per-tensor | STM32MP157F-DK2 | 2 CPU | 800 MHz | 558.26 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps per-tensor](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8_per_tensor.tflite) | custom_coco_person_17kpts | Int8 | 256x256x3 | per-tensor | STM32MP157F-DK2 | 2 CPU | 800 MHz | 727.03 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [MoveNet Lightning](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/Public_pretrainedmodel_custom_dataset/custom_dataset_person_17kpts/movenet_lightning_a100_192/movenet_singlepose_lightning_a100_192_int8.tflite) | custom_dataset_person_17kpts| Int8 | 192x192x3 | per-channel | STM32MP157F-DK2 | 2 CPU | 800 MHz | 196.81 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [MoveNet Thunder](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/Public_pretrainedmodel_custom_dataset/custom_dataset_person_17kpts/movenet_thunder_a100_256/movenet_singlepose_thunder_a100_256_int8.tflite) | custom_dataset_person_17kpts| Int8 | 256x256x3 | per-channel | STM32MP157F-DK2 | 2 CPU | 800 MHz | 766.38 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8.tflite) | custom_coco_person_17kpts | Int8 | 192x192x3 | per-channel | STM32MP135F-DK | 1 CPU | 1000 MHz | 484.64 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8.tflite) | custom_coco_person_17kpts | Int8 | 224x224x3 | per-channel | STM32MP135F-DK | 1 CPU | 1000 MHz | 651.62 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8.tflite) | custom_coco_person_17kpts | Int8 | 256x256x3 | per-channel | STM32MP135F-DK | 1 CPU | 1000 MHz | 844.89 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps per-tensor](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8_per_tensor.tflite) | custom_coco_person_17kpts | Int8 | 192x192x3 | per-tensor | STM32MP135F-DK | 1 CPU | 1000 MHz | 578.72 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps per-tensor](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8_per_tensor.tflite) | custom_coco_person_17kpts | Int8 | 224x224x3 | per-tensor | STM32MP135F-DK | 1 CPU | 1000 MHz | 772.76 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [ST MoveNet Lightning heatmaps per-tensor](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8_per_tensor.tflite) | custom_coco_person_17kpts | Int8 | 256x256x3 | per-tensor | STM32MP135F-DK | 1 CPU | 1000 MHz | 1007.57 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [MoveNet Lightning](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/Public_pretrainedmodel_custom_dataset/custom_dataset_person_17kpts/movenet_lightning_a100_192/movenet_singlepose_lightning_a100_192_int8.tflite) | custom_dataset_person_17kpts| Int8 | 192x192x3 | per-channel | STM32MP135F-DK | 1 CPU | 1000 MHz | 306.34 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
| [MoveNet Thunder](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/Public_pretrainedmodel_custom_dataset/custom_dataset_person_17kpts/movenet_thunder_a100_256/movenet_singlepose_thunder_a100_256_int8.tflite) | custom_dataset_person_17kpts| Int8 | 256x256x3 | per-channel | STM32MP135F-DK | 1 CPU | 1000 MHz | 1131.30 | NA | NA | 100 | v6.1.0 | TensorFlowLite 2.18.0 |
** **To get the most out of MP25 NPU hardware acceleration, please use per-tensor quantization**
** **Note:** On STM32MP2 devices, per-channel quantized models are internally converted to per-tensor quantization by the compiler using an entropy-based method. This may introduce a slight loss in accuracy compared to the original per-channel models.
### OKS on COCO Person dataset
Dataset details: [link](https://cocodataset.org/#download) , License [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/legalcode) , Quotation[[1]](#1) , Number of classes: 80, Number of images: 118,287
| Model | Format | Resolution | Training Dataset | OKS |
|-------|--------|------------|------------------|----------------|
| [ST MoveNet Lightning heatmaps per-channel](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8.tflite) | Int8 | 192x192x3 | custom ST | 57.64 % |
| [ST MoveNet Lightning heatmaps per-channel](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8.tflite) | Int8 | 224x224x3 | custom ST | 62.29 % |
| [ST MoveNet Lightning heatmaps per-channel](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8.tflite) | Int8 | 256x256x3 | custom ST | 62.36 % |
| [ST MoveNet Lightning heatmaps per-tensor ](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8_per_tensor.tflite) | Int8 | 192x192x3 | custom ST | 55.84 % |
| [ST MoveNet Lightning heatmaps per-tensor ](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8_per_tensor.tflite) | Int8 | 224x224x3 | custom ST | 58.95 % |
| [ST MoveNet Lightning heatmaps per-tensor ](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_custom_dataset/custom_coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8_per_tensor.tflite) | Int8 | 256x256x3 | custom ST | 60.73 % |
| [ST MoveNet Lightning heatmaps per-channel](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_public_dataset/coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8.tflite) | Int8 | 192x192x3 | COCO | 55.34 % |
| [ST MoveNet Lightning heatmaps per-channel](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_public_dataset/coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8.tflite) | Int8 | 224x224x3 | COCO | 59.02 % |
| [ST MoveNet Lightning heatmaps per-channel](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_public_dataset/coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8.tflite) | Int8 | 256x256x3 | COCO | 61.99 % |
| [ST MoveNet Lightning heatmaps per-tensor ](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_public_dataset/coco_person_17kpts/st_movenet_lightning_a100_heatmaps_192/st_movenet_lightning_a100_heatmaps_192_int8_per_tensor.tflite) | Int8 | 192x192x3 | COCO | 55.34 % |
| [ST MoveNet Lightning heatmaps per-tensor ](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_public_dataset/coco_person_17kpts/st_movenet_lightning_a100_heatmaps_224/st_movenet_lightning_a100_heatmaps_224_int8_per_tensor.tflite) | Int8 | 224x224x3 | COCO | 58.50 % |
| [ST MoveNet Lightning heatmaps per-tensor ](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/ST_pretrainedmodel_public_dataset/coco_person_17kpts/st_movenet_lightning_a100_heatmaps_256/st_movenet_lightning_a100_heatmaps_256_int8_per_tensor.tflite) | Int8 | 256x256x3 | COCO | 61.63 % |
| [MoveNet Lightning per-channel](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/Public_pretrainedmodel_custom_dataset/custom_dataset_person_17kpts/movenet_lightning_a100_192/movenet_singlepose_lightning_a100_192_int8.tflite) | Int8 | 192x192x3 | custom Google | 54.12 % |
| [MoveNet Thunder per-channel](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/movenet/Public_pretrainedmodel_custom_dataset/custom_dataset_person_17kpts/movenet_thunder_a100_256/movenet_singlepose_thunder_a100_256_int8.tflite) | Int8 | 256x256x3 | custom Google | 64.43 % |
## Integration in a simple example and other services support:
Please refer to the stm32ai-modelzoo-services GitHub [here](https://github.com/STMicroelectronics/stm32ai-modelzoo-services)
# References
<a id="1">[1]</a>
“Microsoft COCO: Common Objects in Context”. [Online]. Available: https://cocodataset.org/#download.
@article{DBLP:journals/corr/LinMBHPRDZ14,
author = {Tsung{-}Yi Lin and
Michael Maire and
Serge J. Belongie and
Lubomir D. Bourdev and
Ross B. Girshick and
James Hays and
Pietro Perona and
Deva Ramanan and
Piotr Doll{'{a} }r and
C. Lawrence Zitnick},
title = {Microsoft {COCO:} Common Objects in Context},
journal = {CoRR},
volume = {abs/1405.0312},
year = {2014},
url = {http://arxiv.org/abs/1405.0312},
archivePrefix = {arXiv},
eprint = {1405.0312},
timestamp = {Mon, 13 Aug 2018 16:48:13 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/LinMBHPRDZ14},
bibsource = {dblp computer science bibliography, https://dblp.org}
} |