Computer Vision is the process of using tools and algorithms to gain high-level understanding from digital images or videos. It is a subset of the field of Artificial Intelligence. In the current age, computer vision has been applied to various practical problems including facial recognition, medical image analysis, vehicle detection, and automatic victim detection in disaster scenes. By leveraging Convolutional Neural Networks (CNN), computer vision can be used to improve accuracy and precision of many tasks that used to require human labor.
A Computer Vision Expert is a specialist in Computer Vision algorithms, machine learning, neural networks, deep learning and more. A Computer Vision Expert can build projects from scratch or customize existing models for various problems like image classification and segmentation, object detection and tracking,video analysis, image restoration and enhancement. In addition, they can offer the latest techniques and technologies such as deep learning to increase accuracy results and speed up task times.
Here's some projects that our expert Computer Vision Experts made real:
- Classifying images into categories with pre-trained models
- Adding angle calculation to an iOS project
- Developing eye-blink detection project with deep learning models
- Controlling recording device with stereo visuals from microscope
- Generating image attributes for identification documents with deep learning
- Automating post-processing of real estate photos with computational photography algorithms
Computer Vision Experts have done an impressive job in creating the projects mentioned above, showcasing their willingness to take on all kinds of challenges. We invite you to post a new project on Freelancer.com and hire a Computer Vision Expert to work on your vision project and make it become a reality.Daripada 21,756 ulasan, klien menilai Computer Vision Experts 4.83 daripada 5 bintang.
Upah Computer Vision Experts
Project Description: I am looking for a skilled freelancer to develop a smart camera to detecting the size of water cans carried by forklifts in my warehouse. The camera must be able to determine whether the forklift is empty or not, and if it is not empty, it must determine whether it is carrying small or large water cans. Skills and Experience: - Expertise in computer vision and image processing - Experience in developing smart camera systems for size detection - Knowledge of indoor environment considerations for camera systems - Familiarity with different technologies and platforms for camera systems - Ability to provide suggestions and recommendations for the best technology and platform for the project Project Requirements: - The camera must be able to take clear pictures of the for...
Challenge Overview and Objective Innovative solutions are urgently needed to detect, characterize, track, or remediate small debris to ensure the safety and sustainability of space operations. This competition invites creative minds from around the world to contribute groundbreaking concepts that address the critical issue of small debris in Earth's low-earth orbit (LEO) environment. Low-Earth orbit (often known as LEO) encompasses Earth-centered orbits with an altitude of 2,000 km or less. Low-Earth orbit is considered the area in Earth orbit near enough to Earth for convenient transportation, communication, observation and resupply. This is the area where the International Space Station currently orbits and where many proposed future platforms will be located. The objective of th...
Title: Deep Learning Model Tuning Project Description: I need someone to join me and help me complete my academic research. The research topic is Cross-architecture Knowledge Distillation between a teacher Vision Transformer and a student Conv. Net. It does not need to be too advanced, just the basic functionality to work and I'll be happy. I have already trained the teacher and student models and I have written the code for the knowledge distillation framework. I just need help in making sure it's correct. I have written the code in Tensorflow but I wont mind switching to Pytorch. I am very much open to suggestions and I need your opinion. Please find attached the research paper I am trying to implement. Also, here is the research author's source code: Skills and Experie...
I am looking for a custom object learning for snooker, which allows to determine the snooker ball in colors, pockets, the inner edge and outer edge of the snooker table. Required Object: 1. 00-White 2. 01-Red 3. 02-Yellow 4. 03-Green 5. 04-Brown 6. 05-Blue 7. 06-Pink 8. 07-Black 9. 10-Pocket 10. 11-Inner Edge 11. 12-Outer Edge For the learning, I prefer to have at least 2000 images to train, in order to get the weight files for object detection. Annotation: 1000 images Training: 1000 images The complete project is required the following: I will play a .mp4 video on your test script, and your script should be able to play the mp4, and each live frame must be able to label each defined objects (snooker ball) with the trained objects. I need to training source and the complete trained ...
Project for CycleGAN implementation - Looking for a skilled freelancer to implement CycleGAN using Python - Must be proficient in Python programming language - Experience with deep learning and image processing is required - Making adjustments for code that already exists. Githup :"" -The client possesses the dataset. - Deadline for the project is 1 week, so the freelancer must be able to work efficiently and meet the deadline - change the concept from fog to sandstorm. - Documentation that explains what was the fixes.