Perform image inference with pretrained object detection model
Budget: $30 – $250 USD
Perform Object Detection Inference with Pretrained YOLOv8 Model
- Purpose: Object Detection
- Preferred Pretrained Model: YOLO
- Expected Output Format: Class labels with confidence levels for each predicted level
- Language: Python 3.10
The YOLOv8 object detection model is stored as an ONNX model in a GCP storage bucket. The model needs to be loaded, an image needs to be preprocessed, and the object detection inference needs to be performed with the expected output format.
Ideal Skills and Experience:
- Experience with object detection and computer vision
- Familiarity with YOLOv8 framework and pretrained models
- Proficiency in Python
- Purpose: Object Detection
- Preferred Pretrained Model: YOLO
- Expected Output Format: Class labels with confidence levels for each predicted level
- Language: Python 3.10
The YOLOv8 object detection model is stored as an ONNX model in a GCP storage bucket. The model needs to be loaded, an image needs to be preprocessed, and the object detection inference needs to be performed with the expected output format.
Ideal Skills and Experience:
- Experience with object detection and computer vision
- Familiarity with YOLOv8 framework and pretrained models
- Proficiency in Python