Want to hire Dlib developer? Then you should know!
How and where is Dlib used?
- Facial Recognition: Identifying faces in images
- Object Detection: Detecting objects in images
- Facial Landmark Detection: Locating key points on faces
- Image Clustering: Grouping similar images together
- Real-Time Face Tracking: Tracking faces in live video streams
- Facial Expression Recognition: Detecting emotions on faces
- Hand Gesture Recognition: Recognizing hand gestures in images
- Text Detection: Detecting and recognizing text in images
- Shape Prediction: Predicting shapes based on input data
- Image Segmentation: Segmenting images into different regions
Compare Junior, Middle, Senior, and Expert/Team Lead Dlib Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years | Responsibilities & Activities:
| 40,000 |
Middle | 2-5 years | Responsibilities & Activities:
| 60,000 |
Senior | 5-8 years | Responsibilities & Activities:
| 80,000 |
Expert/Team Lead | 8+ years | Responsibilities & Activities:
| 100,000 |
Quick Facts about Dlib.
- Created in 2002 by Davis King, Dlib is a versatile C++ toolkit
- Popular for projects in facial recognition, object detection, and image processing
- Entry requires a basic understanding of C++ and computer vision concepts
- OpenCV is often used alongside Dlib for enhanced computer vision applications
- Did you know? Dlib’s facial landmark detection can estimate emotion from faces!
TOP Dlib Related Technologies
- C++ (Davis, 1985)
- Python (van Rossum, 1991)
- OpenCV (Bradski, 1999)
- Boost (Schling, 2001)
- TensorFlow (Google Brain Team, 2015)
What are top Dlib instruments and tools?
- Dlib: Face recognition and deep learning library
- Dlib: Image processing and machine learning tools
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