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Release AI-ModelZoo-4.0.0

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@@ -59,62 +59,108 @@ For an image resolution of NxM and NC classes
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  Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
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  ### Reference **NPU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
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- | Model | Dataset | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB) | STM32Cube.AI version | STEdgeAI Core version |
63
- |-----------------------------------------------------------------------------------------------------------------------------------|-------------|----------|--------------|----------|----------------------|----------------------|-----------------------|------------------------|-------------------------|
64
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_192/st_yolo_x_nano_192_0.33_0.25_int8.tflite) | COCO-Person | Int8 | 192x192x3 | STM32N6 | 297 | 0 | 980.38 | 10.2.0 | 2.2.0 |
65
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.33_0.25_int8.tflite) | COCO-Person | Int8 | 256x256x3 | STM32N6 | 560 | 0 | 980.31 | 10.2.0 | 2.2.0 |
66
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.5_0.4_int8.tflite) | COCO-Person | Int8 | 256x256x3 | STM32N6 | 971.62 | 0 | 2452.39 | 10.2.0 | 2.2.0 |
67
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_320/st_yolo_x_nano_320_0.33_0.25_int8.tflite) | COCO-Person | Int8 | 320x320x3 | STM32N6 | 847.5 | 0 | 980.31 | 10.2.0 | 2.2.0 |
68
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_416/st_yolo_x_nano_416_0.33_0.25_int8.tflite) | COCO-Person | Int8 | 416x416x3 | STM32N6 | 2682.88 | 0 | 980.31 | 10.2.0 | 2.2.0 |
69
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_480/st_yolo_x_nano_480_1.0_0.25_3_int8.tflite) | COCO-Person | Int8 | 480x480x3 | STM32N6 | 2418.75 | 0 | 1383.56 | 10.2.0 | 2.2.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
70
  ### Reference **NPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
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- | Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version |
72
- |-----------------------------------------------------------------------------------------------------------------------------------|-------------|----------|--------------|---------------|--------------------|-----------------------|-------------|------------------------|-------------------------|
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- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_192/st_yolo_x_nano_192_0.33_0.25_int8.tflite) | COCO-Person | Int8 | 192x192x3 | STM32N6570-DK | NPU/MCU | 6.01 | 166.39 | 10.2.0 | 2.2.0 |
74
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.33_0.25_int8.tflite) | COCO-Person | Int8 | 256x256x3 | STM32N6570-DK | NPU/MCU | 8.59 | 116.41 | 10.2.0 | 2.2.0 |
75
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.5_0.4_int8.tflite) | COCO-Person | Int8 | 256x256x3 | STM32N6570-DK | NPU/MCU | 21.27 | 47.01 | 10.2.0 | 2.2.0 |
76
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_320/st_yolo_x_nano_320_0.33_0.25_int8.tflite) | COCO-Person | Int8 | 320x320x3 | STM32N6570-DK | NPU/MCU | 11.89 | 84.1 | 10.2.0 | 2.2.0 |
77
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_416/st_yolo_x_nano_416_0.33_0.25_int8.tflite) | COCO-Person | Int8 | 416x416x3 | STM32N6570-DK | NPU/MCU | 17.69 | 56.53 | 10.2.0 | 2.2.0 |
78
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_480/st_yolo_x_nano_480_1.0_0.25_3_int8.tflite) | COCO-Person | Int8 | 480x480x3 | STM32N6570-DK | NPU/MCU | 32.4 | 30.8 | 10.2.0 | 2.2.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
79
  ### Reference **MCU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
80
 
81
- | Model | Format | Resolution | Series | Activation RAM (KiB) | Runtime RAM (KiB) | Weights Flash (KiB) | Code Flash (KiB) | Total RAM | Total Flash | STM32Cube.AI version |
82
- |----------------------------------------------------------------------------------------------------------------------------------|----------|--------------|----------|------------------------|---------------------|-----------------------|--------------------|-------------|---------------|------------------------|
83
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_192/st_yolo_x_nano_192_0.33_0.25_int8.tflite) | Int8 | 192x192x3 | STM32H7 | 162.42 | 64.05 | 891.18 | 165.3 | 226.47 | 1056.48 | 10.2.0 |
84
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.33_0.25_int8.tflite) | Int8 | 256x256x3 | STM32H7 | 284.92 | 64.05 | 891.18 | 165.31 | 348.97 | 1056.49 | 10.2.0 |
85
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.5_0.4_int8.tflite) | Int8 | 256x256x3 | STM32H7 | 463.9 | 83.8 | 2435.76 | 227.33 | 547.7 | 2663.09 | 10.2.0 |
86
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_320/st_yolo_x_nano_320_0.33_0.25_int8.tflite) | Int8 | 320x320x3 | STM32H7 | 442.42 | 64.05 | 891.18 | 165.36 | 506.47 | 1056.54 | 10.2.0 |
 
87
 
88
- ### Reference **MCU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
89
 
 
90
 
91
- | Model | Format | Resolution | Board | Execution Engine | Frequency | Inference time (ms) | STM32Cube.AI version |
92
- |----------------------------------------------------------------------------------------------------------------------------------|----------|--------------|------------------|--------------------|-------------|-----------------------|------------------------|
93
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_192/st_yolo_x_nano_192_0.33_0.25_int8.tflite) | Int8 | 192x192x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 335.19 | 10.2.0 |
94
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.33_0.25_int8.tflite) | Int8 | 256x256x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 603.06 | 10.2.0 |
95
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.5_0.4_int8.tflite) | Int8 | 256x256x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 1708.16 | 10.2.0 |
96
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_320/st_yolo_x_nano_320_0.33_0.25_int8.tflite) | Int8 | 320x320x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 967.8 | 10.2.0 |
 
97
 
98
 
99
  ### AP on COCO Person dataset
100
 
101
  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
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103
- | Model | Format | Resolution | Depth Multiplier | Width Multiplier | Anchors | AP |
104
- |-------|--------|------------|------------------|------------------|---------|----|
105
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_192/st_yolo_x_nano_192_0.33_0.25_int8.tflite) | Int8 | 192x192x3 | 0.33 | 0.25 | 1 | 36.1 % |
106
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_192/st_yolo_x_nano_192_0.33_0.25.h5) | Float | 192x192x3 | 0.33 | 0.25 | 1 | 36.1 % |
107
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.33_0.25_int8.tflite) | Int8 | 256x256x3 | 0.33 | 0.25 | 1 | 44.2 % |
108
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.33_0.25.h5) | Float | 256x256x3 | 0.33 | 0.25 | 1 | 44.1 % |
109
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.5_0.4_int8.tflite) | Int8 | 256x256x3 | 0.5 | 0.4 | 1 | 50.1 % |
110
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_256/st_yolo_x_nano_256_0.5_0.4.h5) | Float | 256x256x3 | 0.5 | 0.4 | 1 | 50.0 % |
111
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_320/st_yolo_x_nano_320_0.33_0.25_int8.tflite) | Int8 | 320x320x3 | 0.33 | 0.25 | 1 | 48.8 % |
112
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_320/st_yolo_x_nano_320_0.33_0.25.h5) | Float | 320x320x3 | 0.33 | 0.25 | 1 | 48.5 % |
113
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_416/st_yolo_x_nano_416_0.33_0.25_int8.tflite) | Int8 | 416x416x3 | 0.33 | 0.25 | 1 | 54.0 % |
114
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_416/st_yolo_x_nano_416_0.33_0.25.h5) | Float | 416x416x3 | 0.33 | 0.25 | 1 | 54.5 % |
115
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_480/st_yolo_x_nano_480_1.0_0.25_3_int8.tflite) | Int8 | 480x480x3 | 1.0 | 0.25 | 3 | 61.4 % |
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- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yolo_x/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_x_nano_480/st_yolo_x_nano_480_1.0_0.25_3.h5) | Float | 480x480x3 | 1.0 | 0.25 | 3 | 62.1 % |
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
118
 
119
  \* EVAL_IOU = 0.5, NMS_THRESH = 0.5, SCORE_THRESH = 0.001, MAX_DETECTIONS = 100
120
 
 
59
  Measures are done with default STM32Cube.AI configuration with enabled input / output allocated option.
60
 
61
  ### Reference **NPU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
62
+ | Model | Hyperparameters (depth_width) | Dataset | Format | Resolution | Series | Internal RAM (KiB) | External RAM (KiB) | Weights Flash (KiB) | STEdgeAI Core version |
63
+ |-----------------------------------------------------------------------------------------------------------------------------------|-------------------------------|------------------|----------|--------------|----------|----------------------|----------------------|------------------------|-------------------------|
64
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_192/st_yoloxn_d033_w025_192_int8.tflite) | d033_w025 | COCO-Person | Int8 | 192x192x3 | STM32N6 | 333 | 0 | 877.66 | 3.0.0 |
65
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_256/st_yoloxn_d033_w025_256_int8.tflite) | d033_w025 | COCO-Person | Int8 | 256x256x3 | STM32N6 | 624 | 0 | 884.91 | 3.0.0 |
66
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_320/st_yoloxn_d033_w025_320_int8.tflite) | d033_w025 | COCO-Person | Int8 | 320x320x3 | STM32N6 | 1125 | 0 | 895.03 | 3.0.0 |
67
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_int8.tflite) | d033_w025 | COCO-Person | Int8 | 416x416x3 | STM32N6 | 2676.12| 0 | 904.03 | 3.0.0 |
68
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d050_w040_256/st_yoloxn_d050_w040_256_int8.tflite) | d050_w040 | COCO-Person | Int8 | 256x256x3 | STM32N6 | 833 | 0 | 2414.64 | 3.0.0 |
69
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_int8.tflite) | d100_w025 | COCO-Person | Int8 | 480x480x3 | STM32N6 | 2707.5 | 0 | 1173.25 | 3.0.0 |
70
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_int8.tflite) | d033_w025 | ST-Person | Int8 | 416x416x3 | STM32N6 | 2676.12| 0 | 906.28 | 3.0.0 |
71
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d067_w025_416/st_yoloxn_d067_w025_416_int8.tflite) | d067_w025 | ST-Person | Int8 | 416x416x3 | STM32N6 | 2681.41| 0 | 1039.78 | 3.0.0 |
72
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_416/st_yoloxn_d100_w025_416_int8.tflite) | d100_w025 | ST-Person | Int8 | 416x416x3 | STM32N6 | 2676.12| 0 | 1173.28 | 3.0.0 |
73
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_int8.tflite) | d100_w025 | ST-Person | Int8 | 480x480x3 | STM32N6 | 2707.5 | 0 | 1173.25 | 3.0.0 |
74
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_qdq_w4_78.84%_w8_21.16%_a8_100%_map_47.33.onnx) | d100_w025 | ST-Person |W4A8 | 480x480x3 | STM32N6 | 2593 | 0 | 738.53 | 3.0.0 |
75
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_80_classes/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_qdq_int8.onnx) | d100_w025 | COCO-80-classes | W4A8 | 480x480x3 | STM32N6 | 3491.48| 0 | 1217.59 | 3.0.0 |
76
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_192/st_yoloxn_d033_w025_192_qdq_w4_83.16%_w8_16.84%_a8_100%_map_37.34.onnx) | d033_w025 | COCO-Person | W4A8 | 192x192x3 | STM32N6 | 360 | 0 | 519.06 | 3.0.0 |
77
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_256/st_yoloxn_d033_w025_256_qdq_w4_83.16%_w8_16.84%_a8_100%_map_44.43.onnx) | d033_w025 | COCO-Person | W4A8 | 256x256x3 | STM32N6 | 624 | 0 | 526.31 | 3.0.0 |
78
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_320/st_yoloxn_d033_w025_320_qdq_w4_59.47%_w8_40.53%_a8_100%_map_50.61.onnx) | d033_w025 | COCO-Person | W4A8 | 320x320x3 | STM32N6 | 1125 | 0 | 638.67 | 3.0.0 |
79
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_qdq_w4_76.19%_w8_23.81%_a8_100%_map_53.97.onnx) | d033_w025 | COCO-Person | W4A8 | 416x416x3 | STM32N6 | 2670.84| 0 | 575.53 | 3.0.0 |
80
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d050_w040_256/st_yoloxn_d050_w040_256_qdq_w4_62.53%_w8_37.47%_a8_100%_map_49.2.onnx) | d050_w040 | COCO-Person | W4A8 | 256x256x3 | STM32N6 | 835 | 0 | 1671.08 | 3.0.0 |
81
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_qdq_w4_55.23%_w8_44.77%_a8_100%_map_59.9.onnx) | d100_w025 | COCO-Person | W4A8 | 480x480x3 | STM32N6 | 2707.5 | 0 | 868.8 | 3.0.0 |
82
+
83
+
84
  ### Reference **NPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
85
+ | Model | Hyperparameters (depth_width) | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STEdgeAI Core version |
86
+ |-----------------------------------------------------------------------------------------------------------------------------------|-------------------------------|----------------------|----------|--------------|---------------|--------------------|-----------------------|-------------|-------------------------|
87
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_192/st_yoloxn_d033_w025_192_int8.tflite) | d033_w025 | COCO-Person | Int8 | 192x192x3 | STM32N6570-DK | NPU/MCU | 6.63 | 150.74 | 3.0.0 |
88
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_256/st_yoloxn_d033_w025_256_int8.tflite) | d033_w025 | COCO-Person | Int8 | 256x256x3 | STM32N6570-DK | NPU/MCU | 9.42 | 106.17 | 3.0.0 |
89
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_320/st_yoloxn_d033_w025_320_int8.tflite) | d033_w025 | COCO-Person | Int8 | 320x320x3 | STM32N6570-DK | NPU/MCU | 13.29 | 75.26 | 3.0.0 |
90
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_int8.tflite) | d033_w025 | COCO-Person | Int8 | 416x416x3 | STM32N6570-DK | NPU/MCU | 21.3 | 46.95 | 3.0.0 |
91
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d050_w040_256/st_yoloxn_d050_w040_256_int8.tflite) | d050_w040 | COCO-Person | Int8 | 256x256x3 | STM32N6570-DK | NPU/MCU | 20.12 | 49.70 | 3.0.0 |
92
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_int8.tflite) | d100_w025 | COCO-Person | Int8 | 480x480x3 | STM32N6570-DK | NPU/MCU | 35.8 | 27.93 | 3.0.0 |
93
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_int8.tflite) | d033_w025 | ST-Person | Int8 | 416x416x3 | STM32N6570-DK | NPU/MCU | 21.66 | 46.16 | 3.0.0 |
94
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d067_w025_416/st_yoloxn_d067_w025_416_int8.tflite) | d067_w025 | ST-Person | Int8 | 416x416x3 | STM32N6570-DK | NPU/MCU | 24.37 | 41.02 | 3.0.0 |
95
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_416/st_yoloxn_d100_w025_416_int8.tflite) | d100_w025 | ST-Person | Int8 | 416x416x3 | STM32N6570-DK | NPU/MCU | 27.02 | 36.99 | 3.0.0 |
96
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_int8.tflite) | d100_w025 | ST-Person | Int8 | 480x480x3 | STM32N6570-DK | NPU/MCU | 35.8 | 27.93 | 3.0.0 |
97
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_qdq_w4_78.84%_w8_21.16%_a8_100%_map_47.33.onnx) | d100_w025 | ST-Person | W4A8 | 480x480x3 | STM32N6570-DK | NPU/MCU | 34.27 | 29.18 | 3.0.0 |
98
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_80_classes/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_qdq_int8.onnx) | d100_w025 | COCO-80-classes | W4A8 | 480x480x3 | STM32N6570-DK | NPU/MCU | 49.34 | 20.27 | 3.0.0 |
99
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_192/st_yoloxn_d033_w025_192_qdq_w4_83.16%_w8_16.84%_a8_100%_map_37.34.onnx) | d033_w025 | COCO-Person | W4A8 | 192x192x3 | STM32N6570-DK | NPU/MCU | 6.33 | 157.96 | 3.0.0 |
100
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_256/st_yoloxn_d033_w025_256_qdq_w4_83.16%_w8_16.84%_a8_100%_map_44.43.onnx) | d033_w025 | COCO-Person | W4A8 | 256x256x3 | STM32N6570-DK | NPU/MCU | 8.20 | 121.95 | 3.0.0 |
101
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_320/st_yoloxn_d033_w025_320_qdq_w4_59.47%_w8_40.53%_a8_100%_map_50.61.onnx) | d033_w025 | COCO-Person | W4A8 | 320x320x3 | STM32N6570-DK | NPU/MCU | 11.82 | 84.66 | 3.0.0 |
102
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_qdq_w4_76.19%_w8_23.81%_a8_100%_map_53.97.onnx) | d033_w025 | COCO-Person | W4A8 | 416x416x3 | STM32N6570-DK | NPU/MCU | 19.87 | 50.32 | 3.0.0 |
103
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d050_w040_256/st_yoloxn_d050_w040_256_qdq_w4_62.53%_w8_37.47%_a8_100%_map_49.2.onnx) | d050_w040 | COCO-Person | W4A8 | 256x256x3 | STM32N6570-DK | NPU/MCU | 18.34 | 54.52 | 3.0.0 |
104
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_qdq_w4_55.23%_w8_44.77%_a8_100%_map_59.9.onnx) | d100_w025 | COCO-Person | W4A8 | 480x480x3 | STM32N6570-DK | NPU/MCU | 34.71 | 28.80 | 3.0.0 |
105
+
106
+
107
  ### Reference **MCU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
108
 
109
+ | Model | Hyperparameters (depth_width) | Format | Resolution | Series | Activation RAM (KiB) | Runtime RAM (KiB) | Weights Flash (KiB) | Code Flash (KiB) | Total RAM | Total Flash | STEdgeAI Core version |
110
+ |-----------------------------------------------------------------------------------------------------------------------------------|-------------------------------|----------|--------------|----------|------------------------|---------------------|-----------------------|--------------------|-------------|---------------|-------------------------|
111
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_192/st_yoloxn_d033_w025_192_int8.tflite) | d033_w025 | Int8 | 192x192x3 | STM32H7 | 184.92 | 12.54 | 891.18 | 108.38 | 197.46 | 999.56 | 3.0.0 |
112
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_256/st_yoloxn_d033_w025_256_int8.tflite) | d033_w025 | Int8 | 256x256x3 | STM32H7 | 324.92 | 12.54 | 891.18 | 108.38 | 337.46 | 999.84 | 3.0.0 |
113
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d050_w040_256/st_yoloxn_d050_w040_256_int8.tflite) | d050_w040 | Int8 | 256x256x3 | STM32H7 | 451.4 | 15.63 | 2435.76 | 151.42 | 467.03 | 2587.18 | 3.0.0 |
114
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_320/st_yoloxn_d033_w025_320_int8.tflite) | d033_w025 | Int8 | 320x320x3 | STM32H7 | 504.92 | 12.54 | 891.18 | 108.38 | 517.46 | 1000.04 | 3.0.0 |
115
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_int8.tflite) | d033_w025 | Int8 | 416x416x3 | STM32H7 | 849.92 | 12.54 | 891.18 | 108.38 | 862.46 | 999.99 | 3.0.0 |
116
 
 
117
 
118
+ ### Reference **MCU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
119
 
120
+ | Model | Hyperparameters (depth_width) | Format | Resolution | Board | Execution Engine | Frequency | Inference time (ms) | STEdgeAI Core version |
121
+ |-----------------------------------------------------------------------------------------------------------------------------------|-------------------------------|----------|--------------|------------------|--------------------|-------------|-----------------------|-------------------------|
122
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_192/st_yoloxn_d033_w025_192_int8.tflite) | d033_w025 | Int8 | 192x192x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 357.79| 3.0.0 |
123
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_256/st_yoloxn_d033_w025_256_int8.tflite) | d033_w025 | Int8 | 256x256x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 641.66| 3.0.0 |
124
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d050_w040_256/st_yoloxn_d050_w040_256_int8.tflite) | d050_w040 | Int8 | 256x256x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 1698.36| 3.0.0 |
125
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_320/st_yoloxn_d033_w025_320_int8.tflite) | d033_w025 | Int8 | 320x320x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 1026.35| 3.0.0 |
126
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_int8.tflite) | d033_w025 | Int8 | 416x416x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 1797.73| 3.0.0 |
127
 
128
 
129
  ### AP on COCO Person dataset
130
 
131
  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
132
 
133
+ | Model | Hyperparameters (depth_width) | Format | Resolution | Depth Multiplier | Width Multiplier | Anchors | AP |
134
+ |-------|------------------------------|--------|------------|------------------|------------------|---------|----|
135
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_192/st_yoloxn_d033_w025_192_int8.tflite) | d033_w025 | Int8 | 192x192x3 | 0.33 | 0.25 | 1 | 38.16 % |
136
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_192/st_yoloxn_d033_w025_192.keras) | d033_w025 | Float | 192x192x3 | 0.33 | 0.25 | 1 | 38.82 % |
137
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_192/st_yoloxn_d033_w025_192_qdq_w4_83.16%_w8_16.84%_a8_100%_map_37.34.onnx) | d033_w025 | W4A8 | 192x192x3 | 0.33 | 0.25 | 1 | 37.34 % |
138
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_256/st_yoloxn_d033_w025_256_int8.tflite) | d033_w025 | Int8 | 256x256x3 | 0.33 | 0.25 | 1 | 44.85 % |
139
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_256/st_yoloxn_d033_w025_256.keras) | d033_w025 | Float | 256x256x3 | 0.33 | 0.25 | 1 | 45.12 % |
140
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_256/st_yoloxn_d033_w025_256_qdq_w4_83.16%_w8_16.84%_a8_100%_map_44.43.onnx) | d033_w025 | W4A8 | 192x192x3 | 0.33 | 0.25 | 1 | 44.43 % |
141
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d050_w040_256/st_yoloxn_d050_w040_256_int8.tflite) | d050_w040 | Int8 | 256x256x3 | 0.5 | 0.4 | 1 | 50.05 % |
142
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d050_w040_256/st_yoloxn_d050_w040_256.keras) | d050_w040 | Float | 256x256x3 | 0.5 | 0.4 | 1 | 51.07 % |
143
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d050_w040_256/st_yoloxn_d050_w040_256_qdq_w4_62.53%_w8_37.47%_a8_100%_map_49.2.onnx) | d050_w040 | W4A8 | 256x256x3 | 0.33 | 0.25 | 1 | 49.2 % |
144
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_320/st_yoloxn_d033_w025_320_int8.tflite) | d033_w025 | Int8 | 320x320x3 | 0.33 | 0.25 | 1 | 51.17 % |
145
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_320/st_yoloxn_d033_w025_320.keras) | d033_w025 | Float | 320x320x3 | 0.33 | 0.25 | 1 | 51.69 % |
146
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_320/st_yoloxn_d033_w025_320_qdq_w4_59.47%_w8_40.53%_a8_100%_map_50.61.onnx) | d033_w025 | W4A8 | 320x320x3 | 0.33 | 0.25 | 1 | 50.61 % |
147
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_int8.tflite) | d033_w025 | Int8 | 416x416x3 | 0.33 | 0.25 | 1 | 54.8 % |
148
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416.keras) | d033_w025 | Float | 416x416x3 | 0.33 | 0.25 | 1 | 54.82 % |
149
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_qdq_w4_76.19%_w8_23.81%_a8_100%_map_53.97.onnx) | d033_w025 | W4A8 | 416x416x3 | 0.33 | 0.25 | 1 | 53.97 % |
150
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_int8.tflite) | d100_w025 | Int8 | 480x480x3 | 1.0 | 0.25 | 3 | 61.1 % |
151
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480.keras) | d100_w025 | Float | 480x480x3 | 1.0 | 0.25 | 3 | 61.7 % |
152
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_qdq_w4_55.23%_w8_44.77%_a8_100%_map_59.9.onnx) | d100_w025 | W4A8 | 480x480x3 | 0.33 | 0.25 | 1 | 59.9 % |
153
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416_int8.tflite) | d033_w025 | Int8 | 416x416x3 | 0.33 | 0.25 | 1 | 42.58 % |
154
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d033_w025_416/st_yoloxn_d033_w025_416.keras) | d033_w025 | Float | 416x416x3 | 0.33 | 0.25 | 1 | 44.28 % |
155
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d067_w025_416/st_yoloxn_d067_w025_416_int8.tflite) | d067_w025 | Int8 | 416x416x3 | 0.67 | 0.25 | 1 | 46.2 % |
156
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d067_w025_416/st_yoloxn_d067_w025_416.keras) | d067_w025 | Float | 416x416x3 | 0.67 | 0.25 | 1 | 46.7 % |
157
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_416/st_yoloxn_d100_w025_416_int8.tflite) | d100_w025 | Int8 | 416x416x3 | 1.0 | 0.25 | 1 | 47.27 % |
158
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_416/st_yoloxn_d100_w025_416.keras) | d100_w025 | Float | 416x416x3 | 1.0 | 0.25 | 1 | 48.14 % |
159
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_int8.tflite) | d100_w025 | Int8 | 480x480x3 | 1.0 | 0.25 | 1 | 48.15 % |
160
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480.keras) | d100_w025 | Float | 480x480x3 | 1.0 | 0.25 | 1 | 48.68 % |
161
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_custom_dataset/st_person/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480_qdq_w4_78.84%_w8_21.16%_a8_100%_map_47.33.onnx) | d100_w025 | W4A8 | 480x480x3 | 1.0 | 0.25 | 1 | 47.3 % |
162
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_80_classes/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480.tflite) | d100_w025 | Int8 | 480x480x3 | 1.0 | 0.25 | 1 | 34.3 % |
163
+ | [st_yoloxn](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/st_yoloxn/ST_pretrainedmodel_public_dataset/coco_2017_80_classes/st_yoloxn_d100_w025_480/st_yoloxn_d100_w025_480.keras) | d100_w025 | Float | 480x480x3 | 1.0 | 0.25 | 1 | 35.7 % |
164
 
165
  \* EVAL_IOU = 0.5, NMS_THRESH = 0.5, SCORE_THRESH = 0.001, MAX_DETECTIONS = 100
166