Computer Vision Crime Detection Model Fine Tuning
Budget: $30 – $250 USD
I have a Computer Vision model for crime detection which I've developed in Colab. At present, the model is incorrectly labeling certain crimes such as Assault, Fighting, and Burglary. I'm seeking a skilled individual who can fine-tune this model to reduce instances of false labeling.
Key Responsibilities:
- The primary task will be to fine-tune the model so that instances of incorrect labeling are minimized.
- The model should continue to receive video inputs from a webcam and label these crimes on an HTML page output in Colab.
Ideal Experience and Skills:
- Proven experience in Computer Vision, particularly in fine-tuning models.
- A strong background in Deep Learning and Neural Networks.
- Experience in working with video data would be highly beneficial.
- Familiarity with crime detection models or similar projects would be a major plus.
- Proficient in Python and relevant frameworks such as TensorFlow or PyTorch.
Kindly note that I am not able to provide a sample video showcasing the false labeling. Please base your bid on the information provided.
Key Responsibilities:
- The primary task will be to fine-tune the model so that instances of incorrect labeling are minimized.
- The model should continue to receive video inputs from a webcam and label these crimes on an HTML page output in Colab.
Ideal Experience and Skills:
- Proven experience in Computer Vision, particularly in fine-tuning models.
- A strong background in Deep Learning and Neural Networks.
- Experience in working with video data would be highly beneficial.
- Familiarity with crime detection models or similar projects would be a major plus.
- Proficient in Python and relevant frameworks such as TensorFlow or PyTorch.
Kindly note that I am not able to provide a sample video showcasing the false labeling. Please base your bid on the information provided.
Related categories:
Business, Accounting, Human Resources & Legal
Python
Machine Learning (ML)
Pytorch