Want to get Started with Advanced Computer Vision and NLP?
Want to run high-end, the latest state-of-the-art models, but you lack GPU and RAM?
* Run training and inference in one place.
* All the implementation of NLP tasks is done by using Hugging Face.
* Train your model over customer data very easily.
🚩 Comet.Box templates are meant for those people who have intermediate knowledge of Object Detection, Segementation models, and Algorithms.
🚩 Comet.Box only provides you a basic template to kick start your initial part on any Detection, Segementation, Gans, NLP project or task. You would still need to add some custom cfg and other files according to your datasets or corpus.
Wheat detection in field | Multi-Human Pose Detection | Ship Detection in Oceans on Satellite Images |
Underwater Fish Detection | Real-Time Object Detection on Crowd | Real world Object Detection using Facebook DETR |
Car Detection using YoloV5 | Object Detection using RetinaNET | Human Pose Detection using HRNET |
Mask Detection using CNN | Tiger Detection in wild using Yolov5 | |
DeepFakes using GANS and AutoEncoders | CGans on MNIST |
Real Time Segmentation on Videos using YolACT++ | Medical Images Segementation using UNET | Object Segmentation using Mask-RCNN |
COVID-19 Radiography Classification using Resnet18 |
Sentence Classification using BERT Hugging Face | Question/Answering using DistillBERT |
🚀 To contribute to Comet.Box repository raise an issue in the git-repo or dm on LinkedIn