Implement a customized CNN (reference material will be provided for guidance). To implement the customized CNN the video footage (8 videos of roughly 90 minutes long) are split into annotated-, validation-, and test-material, where the test-material is approximately 5 minutes of each 90 minutes video. The test-material is not shared to the seller. The buyer provides customized annotations, currently around 20 minutes of 1080p footage, i.e., 30000 frames, but seller can ask for more if necessary to train the models.
Implementation of milestone 1 is successful when at least 90% accuracy is achieved. Accuracy is defined by a player being detected by the CNN within each frame. For example, a frame with ten players and eight correct detection will result in a accuracy of 100 * (8/10) = 80%. The accuracy is calculated by the buyer using the test-material, where the seller shares the code via GIT. An overall accuracy score is calculated, and implementation is successful if the 90% threshold is reached.
Implementation of YOLO V5 using the same video-material as for milestone 1.
Implementation of milestone 2 is successful when at least 90% accuracy is achieved. Accuracy is defined by a player being detected by the CNN within each frame. For example, a frame with ten players and eight correct detection will result in a accuracy of 100 * (8/10) = 80%. The accuracy is calculated by the buyer using the test-material, where the seller shares the code via GIT. An overall accuracy score is calculated, and implementation is successful if the 90% threshold is reached
Hi, I have implemented YOLO v4/v5 from scratch using tensorflow/keras. The unique thing about me is that I can implement such models from scratch and that means the CNN based model will be complete customized. We can d Plus
Hello, This is Bassel Safwat, currently Lecturer Assistant in Computer Science Faculty and also Machine Learning and Computer Vision team lead in a Company working on object detection and tracking related tasks. I Plus
29 freelance font une offre moyenne de $1279 pour ce travail
Hello, I have a masters degree in AI and have worked on AI/ML projects for 8+ years. If you are interested I can share my desktop and show you some demos/samples. I have worked with most AI/ML tools like NLTK and Plus
* Computer Vision and Machine Learning Expert * Hello, I have 7 years experience of computer vision and machine learning. So i have full skills and experience of this field, and have developed a lot of projects such as Plus
Hello. [login to view URL] Please check some of my previous works done successfully. Please pay attention to football video with YOLO. Looking forward to your answer. Khayal.
Hi As I know, there is some arguments with regard yolov5 on whether it is real or fake. Some states that is not a real research project and simply an implementation change from darknet to pytorch. Even worse part is YO Plus
@@@@ML&DL&Computer Vision Expert@@@@ Thanks for your posting! I am a computer vision and machine learning expert with full experiences in tensorflow, darknet, keras, pytorch, opencv and open vino, android, iOS, C#, C++ Plus
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Machine learning expert. I have developer Human Activity Recognition using CNN. I checked your requirement carefully. I am very interested about this project. I can start right now. I'd like to be your long term partne Plus
*** EXPERIENCES IN OBJECT TRACKING AND DETECT USING YOLO *** Hello, how are you? I am an expert in computer vision and have much experiences in object detection and tracking using OpenCV and Deep Learning. I am familia Plus
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Dear Employer, I have read the project details and confident to work on your project . I have extensive knowledge on python, machine learning, Deep learning,etc . Kindly message me so that we can discuss more about t Plus
Hi I am python expert and I am sure I can help you perfectly. I have rich experience with Machine Learning and I am familiar with Tensorflow/Keras/Numpy. And I always focus on the delivery and the best quality. Let's d Plus
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Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python, etc. I have P Plus
Thanks for your posting I am an image processing expert with full experiences using machine learning such as Yolo, tensorflow, caffe, pytorch, keras and so on... I have developed a lot of object detection and recogniti Plus
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Hi, We are a team of Deep learning experts from Hiroshima ( including Ph.D students). We have expertise in developing high speed, high accuracy models. We are have experience in training and detecting objects using YO Plus
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