YOLOv8 Model Conversion for Pi Detection -- 6
$30-250 USD
Dibayar saat pengiriman
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 Proyek: #38015370
Tentang proyek
7 freelancer rata-rata menawar $169 untuk pekerjaan ini
HI I am a deep learning engineer and I have all the relevant experience of using yolov8 and other models. alongwith TFlite model conversion. please discuss it furtherther regards
With my solid 6+ years of experience in full-stack development and extensive proficiency in JavaScript and Python, I am confident that I possess the right skill set for this project. Not only have I built complex UIs w Lebih banyak
Hi Osama! How are you doing? I am experienced in TensorFlow Lite, YOLOv8 model, and object detection models conversion. I have successfully completed similar projects involving model conversion and integration with Ras Lebih banyak
As an accomplished full-stack developer and a proven expert in the area of object detection, my skills are sharply honed to suit your needs. I have extensive experience working with all the technologies required for th Lebih banyak
Hello, Hasan here, I have 3 years of working experience with computer vision and deep learning in industry. And I am here to try my luck on this platform to earn something extra. This is my first project on this platf Lebih banyak
Hello, Hope you are doing well. I am a computer vision Engineer with 3 years of professional experience. I have worked on different projects of yolov8 which include converting the model to tflite, onnx which is compati Lebih banyak