• Want to get Started with Advanced Computer Vision and NLP?

  • Coinshift provides you a large variety of Computer Vision and NLP pipelines.

• Want to run high end, latest state of the art models, but you lack GPU and RAM?

  • All implementation in CoinShift is done using Google Collab or Kaggle Kernals

* Run training and inference in one place.
* All the implementation of NLP tasks are done by using Hugging Face.
* Train your model over custome data very easily.

🚩 CoinShift Imaging Box templates are meant for those people who have intermediate knowledge of Object Detection, Segementation models and Algorithms.

🚩 CoinShift 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.

• A) Inference Engine
  • Original pretrained models (from original authors and implementations) for inferencing and analysing.
  • Pretrained models on coco, voc, cityscpaes, type datasets.
  • Useful to analyse which algorithm works best for you.
  • Useful to generate semi-accurate annotations (coco, pascal-voc, yolo formats) on a new dataset.

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 CoinShift Imaging Box repository raise an issue in the git-repo or dm on linkedin

• Ritesh - Ritesh

📧 To Join us Shoot a mail to - Mail Here

• Detection Project:
  • ANPR
• Segmentation using:
  • Mask-RCCN
  • Detectron-2
• NLP Models
  • Fine Tune BERT
  • Elmo Model
  • DistilBERT
  • GPT-1 and GPT-2
• Object Tracking

• Drop us a Mail