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YOLOv8 Model Conversion for Pi Detection -- 4

$30-250 USD

Publicado hace alrededor de 1 mes

$30-250 USD

Pagado a la entrega
I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.
ID del proyecto: 38014743

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4 propuestas
Proyecto remoto
Activo hace 1 mes

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4 freelancers están ofertando un promedio de $216 USD por este trabajo
Avatar del usuario
As someone with an experienced background in both Raspberry Pi and Machine Learning, I understand the intricate intersection of both fields - exactly what your project requires. Besides my general command with technical tools such as TensorFlow Lite, I specifically possess skill and experience with YOLOv8 model conversion, a direct overlap to your project's demands. My familiarity with keras-cv will make the transition process smoother, ensuring minimal loss in functionality while improving its efficiency on the Raspberry Pi. Notably, my proven track record in object detection model conversion provides assurance that any issues that arise during the process will be dealt with efficiently and effectively. As a professional who values client satisfaction, maintaining real-time object detection capabilities is a top priority, ensuring your model performs flawlessly after conversion. Overall, not only do I have the depth of knowledge across Robotics, Mechatronics, Computer Science or Electrical Engineering essential to understanding the nuances of such conversions but also generalist software skills that make me adaptable to ever-changing technologies. Thus, I am confident in offering my services to convert your YOLOv8 model into the latest version of TensorFlow Lite for Raspberry Pi usage – ultimately achieving our shared goal of continued high-quality object detection capabilities.
$250 USD en 7 días
3,6 (4 comentarios)
Avatar del usuario
Hello... How are you?... I have master degree in mechatronics embedded Engineering and I have 7 years of Industrial experience in dealing with Electronics components and all type of microcontrollers like Arduino Esp32 ESP8266 Raspberry PI etc. I have done more than 500 projects on Arduino/ESP32/Raspberry pi. I have read your requirement and you want me to write code for Arduino/Raspberry PI. I can do your task easily in no time. I will send you sample of work if you ask. I have done Projects of Arduino/Raspberry PI Related to Image processing with deep Learning Algorithm. MQTT server based Projects Node Red based projects Implement all type of sensors (Motor Drivers, Stepper Motors & Servos , LCD/OLED/TFT Display, Robot Motors, Analog Sensors, GPRS / GSM , Gyroscope , Accelerometer , Pressure, Temperature & Humidity Sensor, Fingerprint sensor, Bluetooh Module, BLE Modules, Thermal Sensors, Smoke Detectors, Internet of Things) Local server based IOT projects Home Automation Quadcopters etc.... I will give you complete guide on project and you can pay after the completion of the project Since I will give you cheapest price for service because I am building my profile. Kindly contact me and we will discus the detail of task. Regards
$225 USD en 7 días
0,0 (0 comentarios)
Avatar del usuario
Salam alaykom, I'm Otmane, ready to convert your YOLOv8 model to TensorFlow Lite for Raspberry Pi. With expertise in TensorFlow Lite and YOLOv8, I guarantee smooth integration and real-time object detection. Let's make your project a success together. Best regards.
$250 USD en 7 días
0,0 (0 comentarios)

Sobre este cliente

Bandera de EGYPT
Bilqas, Egypt
Forma de pago verificada
Miembro desde oct 27, 2021

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