[supported]: https://img.shields.io/badge/-supported-green "supported" | Chip | ESP-IDF v5.3 | ESP-IDF v5.4 | |----------|------------------------|------------------------| | ESP32-S3 | ![alt text][supported] | ![alt text][supported] | | ESP32-P4 | ![alt text][supported] | ![alt text][supported] | # Yolo11 Detect Example A simple image inference example. In this example, we use ``bus.jpg`` for test. With default setting(iou=0.7, conf=0.25), the detection result before quantization is shown below:  And the detection result after int8 quantization is as follows:  ## Quick start Follow the [quick start](https://docs.espressif.com/projects/esp-dl/en/latest/getting_started/readme.html#quick-start) to flash the example, you will see the output in idf monitor: ``` I (28477) yolo11n: [category: 0, score: 0.817575, x1: 24, y1: 196, x2: 111, y2: 453] I (28477) yolo11n: [category: 5, score: 0.731059, x1: 81, y1: 115, x2: 400, y2: 372] I (28477) yolo11n: [category: 0, score: 0.731059, x1: 112, y1: 203, x2: 171, y2: 429] I (28487) yolo11n: [category: 0, score: 0.731059, x1: 336, y1: 196, x2: 404, y2: 436] I (28497) yolo11n: [category: 0, score: 0.320821, x1: 0, y1: 276, x2: 29, y2: 434] ``` ## Configurable Options in Menuconfig ### Component configuration We provide the models as components, each of them has some configurable options. See [COCO Detect Model](https://github.com/espressif/esp-dl/blob/master/models/coco_detect/README.md)。 ### Project configuration - CONFIG_PARTITION_TABLE_CUSTOM_FILENAME If model location is set to FLASH partition, please set this option to `partitions2.csv`
To create a project from this example, run:
idf.py create-project-from-example "espressif/esp-dl=3.1.2:yolo11_detect"