Tensorflow Jobs

I have 200 camera dataset. I need to check the dataset with face recognition and detection software. 48 FPS videos

We would like to hear the opinions of machine learning practitioners on machine learning experiment management tools. Experiment management tools support practitioners performing machine learning (ML) or deep learning (DL) experiments to manage all involved artifacts and metadata (datasets, features, scripts, hyperparameters, evaluation metrics, models, …). Such tools are used to reproduce or trace experiments, analyze experiment results, and collaborate with other practitioners. Popular tools are, for instance, , DVC, or MLFlow. These tools allow users to track or log artifacts when performing experiment runs. Completing the survey takes approximately 10 minutes for each ML practitioner. Due to project constraints, we can only pay a maximum of 15 USD.

Need to implement deep learning models like LSTM, CNN-LSTM etc for classification problem. Need someone with experience in MLFlow Deliverables Base models Hyperparameter tuning

So, this is a Front-end project. No backend component is required. Use Case: A single web page application can get the video stream from the device's camera and use the ML model to label the object the user selects. There is a count number at the bottom of the screen. When the object completely crosses the line in the middle of the screen, it adds 1 to the counter. The counter is reset to zero when the app restart or users press the reset button. Layout: Please refer to the attachment. Use the default flutter framework for all components, including input boxes, buttons, etc. Object to label: Car, people Implementation Framework: Flutter and Tensorflow lite (or whatever ML model you suggested) Run time Compatibility: The application should work on Windows and Mac OS computers with...

I want to make a system for animal detection via pytorch and yolo v4 or v5. I have many samples and i can do the training under your directions. We use linux systems with nvidia cards. The detections is with ip cameras and also with raw video files

hello. everyone. Do you have an experiences in stock marketing ? you should familiar to OHLC based candle sticks. Please bid if you are an expert. Regards.

The task is about getting body measures from image processing. Output and save the data.

Looking for a very professional TensorFlow developer, to modify the Dense & Flatten layer, the code must be in the TensorFlow 2.0, So, please, if you're not familiar with the low level TensorFlow don't bid. I want to implement it as the image here:

Project requirements:- 1. AntiSpoofing should be capable of categories the fake vs real face. 2. Should be able to connect remote web camera for face identification 3. Match the faces from a centralised data source that can update or downgrade 4. On face match return organization I'd and faceid or image name