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st_yolo_x

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@@ -61,30 +61,30 @@ Measures are done with default STM32Cube.AI configuration with enabled input / o
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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/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 | 324 | 0.0 | 1028.08 | 10.0.0 | 2.0.0 |
65
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 624 | 0.0 | 1028.08 | 10.0.0 | 2.0.0 |
66
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 0.0 | 2547.17 | 10.0.0 | 2.0.0 |
67
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 968.5 | 0.0 | 1028.08 | 10.0.0 | 2.0.0 |
68
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 2640.62 | 0.0 | 1027.89 | 10.0.0 | 2.0.0 |
69
 
70
  ### Reference **NPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
71
  | Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version |
72
  |--------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
73
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 5.99 | 166.94 | 10.0.0 | 2.0.0 |
74
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 8.5 | 117.65 | 10.0.0 | 2.0.0 |
75
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 21.12 | 47.35 | 10.0.0 | 2.0.0 |
76
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 11.59 | 86.29 | 10.0.0 | 2.0.0 |
77
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 |
78
  STM32N6570-DK | NPU/MCU | 17.99 | 55.59 | 10.0.0 | 2.0.0 |
79
 
80
  ### Reference **MCU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
81
 
82
  | Model | Format | Resolution | Series | Activation RAM (KiB) | Runtime RAM (KiB)| Weights Flash (KiB)| Code Flash (KiB)| Total RAM | Total Flash | STM32Cube.AI version |
83
  |-------------------|--------|--------------|---------|----------------|-------------|---------------|------------|-------------|--------------|-----------------------|
84
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 166.19 | 226.47 | 1057.37 | 10.0.0 |
85
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 166.21 | 348.97 | 1057.39 | 10.0.0 |
86
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 228.22| 547.7 |2663.98 | 10.0.0 |
87
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 166.25 | 506.47 | 1057.43 | 10.0.0 |
88
 
89
 
90
  ### Reference **MCU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
@@ -92,10 +92,10 @@ STM32N6570-DK | NPU/MCU | 17.99 | 55.59 | 10.0.0
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  | Model | Format | Resolution | Board | Execution Engine | Frequency | Inference time (ms) | STM32Cube.AI version |
94
  |------------------|--------|------------|------------------|------------------|-------------|---------------------|-----------------------|
95
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 352.4 | 10.0.0 |
96
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 619.92 | 10.0.0 |
97
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 1696.59 | 10.0.0 |
98
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 988.86 | 10.0.0 |
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@@ -106,16 +106,16 @@ Dataset details: [link](https://cocodataset.org/#download) , License [CC BY 4.0]
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  | Model | Format | Resolution | AP |
108
  |-------|--------|------------|----------------|
109
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 45.1 % |
110
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 45.2 % |
111
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 53.6 % |
112
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 53.3 % |
113
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 58.6 % |
114
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 58.7 % |
115
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 57.1 % |
116
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 57.1 % |
117
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 62.2 % |
118
- | [st_yolo_x_nano](https://github.com/STMicroelectronics/stm32ai-modelzoo/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 | 62.5 % |
119
 
120
  \* EVAL_IOU = 0.4, NMS_THRESH = 0.5, SCORE_THRESH =0.001
121
 
 
61
  ### Reference **NPU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
62
  |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 | 324 | 0.0 | 1028.08 | 10.0.0 | 2.0.0 |
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 | 624 | 0.0 | 1028.08 | 10.0.0 | 2.0.0 |
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 | 0.0 | 2547.17 | 10.0.0 | 2.0.0 |
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 | 968.5 | 0.0 | 1028.08 | 10.0.0 | 2.0.0 |
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 | 2640.62 | 0.0 | 1027.89 | 10.0.0 | 2.0.0 |
69
 
70
  ### Reference **NPU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
71
  | Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version |
72
  |--------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
73
+ | [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 | 5.99 | 166.94 | 10.0.0 | 2.0.0 |
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 | 8.5 | 117.65 | 10.0.0 | 2.0.0 |
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 | 21.12 | 47.35 | 10.0.0 | 2.0.0 |
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 | 11.59 | 86.29 | 10.0.0 | 2.0.0 |
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 |
78
  STM32N6570-DK | NPU/MCU | 17.99 | 55.59 | 10.0.0 | 2.0.0 |
79
 
80
  ### Reference **MCU** memory footprint based on COCO Person dataset (see Accuracy for details on dataset)
81
 
82
  | Model | Format | Resolution | Series | Activation RAM (KiB) | Runtime RAM (KiB)| Weights Flash (KiB)| Code Flash (KiB)| Total RAM | Total Flash | STM32Cube.AI version |
83
  |-------------------|--------|--------------|---------|----------------|-------------|---------------|------------|-------------|--------------|-----------------------|
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_192/st_yolo_x_nano_192_0.33_0.25_int8.tflite) | Int8 | 192x192x3 | STM32H7 | 162.42 | 64.05 | 891.18 | 166.19 | 226.47 | 1057.37 | 10.0.0 |
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_0.33_0.25_int8.tflite) | Int8 | 256x256x3 | STM32H7 | 284.92 | 64.05 | 891.18 | 166.21 | 348.97 | 1057.39 | 10.0.0 |
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_256/st_yolo_x_nano_256_0.5_0.4_int8.tflite) | Int8 | 256x256x3 | STM32H7 | 463.9 | 83.8 | 2435.76 | 228.22| 547.7 |2663.98 | 10.0.0 |
87
+ | [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 | 166.25 | 506.47 | 1057.43 | 10.0.0 |
88
 
89
 
90
  ### Reference **MCU** inference time based on COCO Person dataset (see Accuracy for details on dataset)
 
92
 
93
  | Model | Format | Resolution | Board | Execution Engine | Frequency | Inference time (ms) | STM32Cube.AI version |
94
  |------------------|--------|------------|------------------|------------------|-------------|---------------------|-----------------------|
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_192/st_yolo_x_nano_192_0.33_0.25_int8.tflite) | Int8 | 192x192x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 352.4 | 10.0.0 |
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_256/st_yolo_x_nano_256_0.33_0.25_int8.tflite) | Int8 | 256x256x3 | STM32H747I-DISCO | 1 CPU | 400 MHz | 619.92 | 10.0.0 |
97
+ | [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 | 1696.59 | 10.0.0 |
98
+ | [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 | 988.86 | 10.0.0 |
99
 
100
 
101
 
 
106
 
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  | Model | Format | Resolution | AP |
108
  |-------|--------|------------|----------------|
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_192/st_yolo_x_nano_192_0.33_0.25_int8.tflite) | Int8 | 192x192x3 | 45.1 % |
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_192/st_yolo_x_nano_192_0.33_0.25.h5) | Float | 192x192x3 | 45.2 % |
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_256/st_yolo_x_nano_256_0.33_0.25_int8.tflite) | Int8 | 256x256x3 | 53.6 % |
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_256/st_yolo_x_nano_256_0.33_0.25.h5) | Float | 256x256x3 | 53.3 % |
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_256/st_yolo_x_nano_256_0.5_0.4_int8.tflite) | Int8 | 256x256x3 | 58.6 % |
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_256/st_yolo_x_nano_256_0.5_0.4.h5) | Float | 256x256x3 | 58.7 % |
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_320/st_yolo_x_nano_320_0.33_0.25_int8.tflite) | Int8 | 320x320x3 | 57.1 % |
116
+ | [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 | 57.1 % |
117
+ | [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 | 62.2 % |
118
+ | [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 | 62.5 % |
119
 
120
  \* EVAL_IOU = 0.4, NMS_THRESH = 0.5, SCORE_THRESH =0.001
121