TensorFlow Model Creation for Object Detection
Budget: $250 – $750 USD
I need a TensorFlow model created in Python, specifically for object detection. The model should be constructed from Caffe layers, with a focus on achieving optimal F1 Score, mAP, and FPS.
The deliverables of this project should include:
- A well-optimized TensorFlow model for object detection, with a clear focus on performance metrics like F1 Score, mAP, and FPS
- Detailed technical explanation of the model, alongside relevant code snippets
- An in-depth architecture explanation that highlights the transition from Caffe layers to TensorFlow, as well as the reasoning behind each design decision
Ideal Candidate:
- Proficient in Python and has worked extensively with TensorFlow and Caffe
- Prior experience in creating and optimizing models for object detection
- Capable of explaining complex technical concepts in a clear and concise manner
- Able to provide detailed code snippets and architecture explanations to ensure complete understanding of the model
The deliverables of this project should include:
- A well-optimized TensorFlow model for object detection, with a clear focus on performance metrics like F1 Score, mAP, and FPS
- Detailed technical explanation of the model, alongside relevant code snippets
- An in-depth architecture explanation that highlights the transition from Caffe layers to TensorFlow, as well as the reasoning behind each design decision
Ideal Candidate:
- Proficient in Python and has worked extensively with TensorFlow and Caffe
- Prior experience in creating and optimizing models for object detection
- Capable of explaining complex technical concepts in a clear and concise manner
- Able to provide detailed code snippets and architecture explanations to ensure complete understanding of the model