Human Behavior Recognation
Budget: $250 – $750 USD
Project Title: Human Behavior Recognition
Overview:
I am looking for a skilled developer who can create a system for accurately recognizing human behavior in outdoor environments. The system should be able to detect various human actions in roads with a high level of accuracy.
Requirements:
The project requires the following:
1. Human Behavior Recognition:
- The system should be able to recognize and classify human actions in outdoor environments.
- The recognized behaviors should include facial expressions, body language, and speech patterns.
2. Accuracy:
- The behavior recognition system must be highly accurate.
- It should be able to accurately detect and classify human actions in real-time situations.
Ideal Skills and Experience:
The ideal candidate for this project should have the following skills and experience:
1. Computer Vision:
- Strong knowledge and experience in computer vision techniques.
- Proficiency in implementing algorithms for behavior recognition.
2. Machine Learning:
- Experience in training and deploying machine learning models for behavior recognition.
- Familiarity with popular deep learning frameworks, such as TensorFlow or PyTorch.
3. Outdoor Environment Expertise:
- Understanding of the challenges and considerations involved in behavior recognition in outdoor environments.
- Experience in handling various lighting conditions, weather conditions, and varying distances of human subjects.
The dataset needs to use.
https://paperswithcode.com/dataset/jaad
Overview:
I am looking for a skilled developer who can create a system for accurately recognizing human behavior in outdoor environments. The system should be able to detect various human actions in roads with a high level of accuracy.
Requirements:
The project requires the following:
1. Human Behavior Recognition:
- The system should be able to recognize and classify human actions in outdoor environments.
- The recognized behaviors should include facial expressions, body language, and speech patterns.
2. Accuracy:
- The behavior recognition system must be highly accurate.
- It should be able to accurately detect and classify human actions in real-time situations.
Ideal Skills and Experience:
The ideal candidate for this project should have the following skills and experience:
1. Computer Vision:
- Strong knowledge and experience in computer vision techniques.
- Proficiency in implementing algorithms for behavior recognition.
2. Machine Learning:
- Experience in training and deploying machine learning models for behavior recognition.
- Familiarity with popular deep learning frameworks, such as TensorFlow or PyTorch.
3. Outdoor Environment Expertise:
- Understanding of the challenges and considerations involved in behavior recognition in outdoor environments.
- Experience in handling various lighting conditions, weather conditions, and varying distances of human subjects.
The dataset needs to use.
https://paperswithcode.com/dataset/jaad