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Urgent project--- need Datasets for social media images(twitter,instagram,facebook) that related with users and the datasets must contain the user data like id,profile image , the gender of the user, location of the user and the time of published image.
### must have past experience with NLP & image classification model using Deeplearning / legacy algos Model to classify an image with text (20-200 words each) to large set of texts as labels (3-20 words each). Final label set could be as large as 300K points hence require both image features & the text within the image for classification. Giving final top 5 outputs based on probability for each image.
I need a deep learning expert please bided if you are expert on deep learning
I need a function to accept a model and an image . Then return a vector from a layer that I specify in the function. Budget is 15CAD max. Make your mind before request a chat. Do not waste my time by asking "What is you budget?" Answer is 15CAD.
To make changes to the existing model given in the attached paper or to create a new model from scratch which induces multilingual word embeddings using adversarial settings (GANs etc).
Write a python algorithm which verifies the given results. json files , all mandatory attributes are filled and the set values are matching to the listed possibilities in schema .json file . If you find any error in results .json file, write it out to a file(txt or csv) if you find no error for a file , save the transformed version of the result .json file content in the given format () Visualise the objects given in the result files on the corresponding images .(using opencv) input files : schema .json: the possible categories with the corresponding attributes (and possible values ) and shapes result .json : the files to verify based on :required for the result .json files, where no error found rest will be discussed and files will be given .
I want to hire someone that can me some a machine learning algorithm that can learn from the final results and apply those results on the input image. These changes are mostly in basic editing, reducing brightness etc
The project is about camera relocalization : I need someone who can implement the following Deep learning architecture on my dataset : PatchNetvlad + R2D2 Hloc Model FDANET model Netvlad + R2D2 Paper related to netvlad : Patch-NetVLAD paper : R2D2 paper : Hloc code: FDANET code and paper :
Hi I am using yolov4-tiny for people detection in videos and Would like to implement my code to convert from 2D to 3D to get better visualization and eliminating perspective view Herein the image
DataForce is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We are looking for a highly motivated, native Cantonese speaker with programming skills for an exciting fixed-term assignment to contribute to the development of language technologies. The ideal candidate is one who: is based in Beijing(We Provide relocation support if needed) has with a high sensibility for foreign languages and cultures has experience in and passion for working with language data and the ability to help create, categorize, audit, and improve lexical data has experience developing natural language processing code and is able to: provide input and suggestions towards innov...
Cortical thickness challenge Must be done in python using numpy libraries. please go through the pdf.
Looking for someone, who is passionate about training the machine learning models and can also help with the documentation
I'm currently using a machine learning model called YOLOP to do some robotics-related tasks. This model detects objects, segments drivable areas and detects roadside lines. For my task, I only need to retrain YOLOP for object detection and drivable area segmentation on the dataset I have already collected. I will provide unlabeled datasets for learning that only contain a cycling path class that the model doesn't segment. moreover, I want to reduce the detection classes of YOLOP to 2. please have a look on the link below for YOLOP before contacting.
can you help me with deep learning project? Wanna to detect vehicle using background subtraction model with maskrcnn file contain project requirement details... We need to use MS coco dataset It must contain 3 vehicle classes car truck and bus We need to train model and classified these three classes
deep learning, artificial intelligence to recognise voice from 30 seconds of audio and regenerate the same voice, same accent, same pitch and same audio quality to fit into statements in existing audio files. 2 voice samples will be provided. written text must be converted into perfectly same voice and save the file.