AI Computer Vision Research Collaboration
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted1 hour ago
Research Collaboration in Artificial Intelligence, Deep Learning & Computer Vision
I am a specializing in Deep Learning, Image Processing, Artificial Intelligence, and Computer Vision. My research portfolio includes work related to SCI and Scopus-indexed publications, focusing on advanced AI architectures and real-world applications.
I am looking to collaborate with experienced researchers, AI developers, and technical professionals who can contribute to innovative research projects in the following areas:
Research Areas
Deep Learning and Machine Learning
Computer Vision and Image Processing
YOLOv8, Faster R-CNN, Mask R-CNN, and object detection
CNN–Transformer hybrid architectures and Swin Transformer
AI-based weapon detection and intelligent surveillance
Face Recognition, Crowd Analytics, and Anomaly Detection
Image Segmentation, Feature Extraction, and Model Optimization
Python, PyTorch, TensorFlow, and experimental implementation
Required Support
Development and implementation of deep learning models
Research methodology and model architecture design
Dataset preparation, preprocessing, and augmentation
Model training, testing, and performance evaluation
Comparative analysis, ablation studies, and result visualization
Literature review and identification of research gaps
Technical documentation and manuscript improvement
Ideal Freelancer
I am looking for someone with strong technical knowledge, research experience, and practical implementation skills in AI and computer vision. Experience with academic research, experimental validation, and publication-quality documentation will be an advantage.
Expected Deliverables
A clearly documented research solution, reproducible experimental results, source code where applicable, performance metrics, and a well-organized technical report.
I value originality, research integrity, clear communication, and timely delivery. All work must be genuine, properly documented, and free from plagiarism or fabricated experimental results.
If you have experience in deep learning research or computer vision development and are interested in meaningful research collaboration, please share your relevant projects, technical expertise, portfolio, estimated timeline, and proposed budget.
Let's collaborate to develop innovative AI solutions and advance research in deep learning and computer vision.
I am a specializing in Deep Learning, Image Processing, Artificial Intelligence, and Computer Vision. My research portfolio includes work related to SCI and Scopus-indexed publications, focusing on advanced AI architectures and real-world applications.
I am looking to collaborate with experienced researchers, AI developers, and technical professionals who can contribute to innovative research projects in the following areas:
Research Areas
Deep Learning and Machine Learning
Computer Vision and Image Processing
YOLOv8, Faster R-CNN, Mask R-CNN, and object detection
CNN–Transformer hybrid architectures and Swin Transformer
AI-based weapon detection and intelligent surveillance
Face Recognition, Crowd Analytics, and Anomaly Detection
Image Segmentation, Feature Extraction, and Model Optimization
Python, PyTorch, TensorFlow, and experimental implementation
Required Support
Development and implementation of deep learning models
Research methodology and model architecture design
Dataset preparation, preprocessing, and augmentation
Model training, testing, and performance evaluation
Comparative analysis, ablation studies, and result visualization
Literature review and identification of research gaps
Technical documentation and manuscript improvement
Ideal Freelancer
I am looking for someone with strong technical knowledge, research experience, and practical implementation skills in AI and computer vision. Experience with academic research, experimental validation, and publication-quality documentation will be an advantage.
Expected Deliverables
A clearly documented research solution, reproducible experimental results, source code where applicable, performance metrics, and a well-organized technical report.
I value originality, research integrity, clear communication, and timely delivery. All work must be genuine, properly documented, and free from plagiarism or fabricated experimental results.
If you have experience in deep learning research or computer vision development and are interested in meaningful research collaboration, please share your relevant projects, technical expertise, portfolio, estimated timeline, and proposed budget.
Let's collaborate to develop innovative AI solutions and advance research in deep learning and computer vision.
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