DL project

I am machine learning researcher. I have expertise in Computer Vision, NLP, & Machine Learning algorithms. # In Computer Vision, I implemented models like 1. Image classification 2. Object Detection 3. Image segmentation 4. Image enhancement & restoration 5. Video classification and Compression. # In NLP, I worked on 1. Text Classification 2. Sentiment analysis 3. Neural machine translation 4. Text summarisation 5. Entity Extraction # Dataset I have worked on 1. Medical image 2. Solar energy 3. Satellites and IR sensor data 4 Text 5 Images # Framework I am familiar to: 1. Tensorflow 2. Keras 3. Scikit learn 4. Pytorch 5. Numpy 6. Pandas 7. Xgboost/catboost 8. OpenCV # Neural networks architecture I have implemented, 1. CNN 2. LSTM/RNN/GRU 3. TRANSFORMER 4. GAN & it's Variants # Popular architecture I have worked on: 1. Alexnet 2. Resnet 4. Mobilenet 5. Faster RCNN & it's variants 6. DEEPLAB & it's variant 7. YOLO 9. Auto encoder # programming language 1. Python 2. Java 3. C++

Hi there, What is your data type? Please give me more details to reestimate execution time and budget I'll be on touch for any modification or maintenance for free for you for your work I wait for your response...