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Functions of Object

Here at Object we make use the modern design concepts as well as the new Object Detection Algorithms to give the better result.

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Still Image

Using the modern interface of Object you can detect multiple objects from any type of images and sizes.

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Video Footage

Object is not bounded to still images only. You can pass any type and length of video and get objects detected.

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Live Surveillance

Object's possibilities aren't limited to the recorded video only. You can connect any camera's LIVE feed too.

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Cross Platform

Through our modern interface Object can go cross platform. You can enjoy the full functionalities on any screen size.

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TensorFlow.js

Object uses the state of the art deep learning library TensorFlow.js through CDN that can load and run on any device.

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Tuned Accuracy

We have used coco generalized model that can be tuned for best accuracy on particular objects based application env.

Detect Object from Still Images of Multiple Formats

Detection of objects from still images has never been easier. You just have to browse and upload the photo rest of the task is done by us. You will get your photos with detailed bounding boxes for the detected items.

DETECT IMAGE
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Detect Object from Recorded Video or LIVE Footage

Object makes detection objects from videos easier than ever before. You can either pass any recorded video or connect a camera for live footage capture. Object will feedback you with the video having detailed bounding box rendered around the detected items live.

DETECT VIDEO

Check Out The Demo Video

This video will show you how Object works and will help you understand why it is a better solution than static localized solutions for various situations.

Testimonials

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About The Team

Meet the team who made this open-source project possible

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Ms. NALINI N

Assistant Professor (Senior)
Dept. of Information Security
SCOPE, VIT Vellore

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S. Shubhra Sarkar

Student - 18BCE2453
B. Tech. Dept. of CSE
SCOPE, VIT Vellore

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Anindya Sen

Student - 18BCE2382
B. Tech. Dept. of CSE
SCOPE, VIT Vellore

Supported By
VIT
RAS
SIGMA
TENSORFLOW
VIT
RAS
SIGMA
TENSORFLOW

Contact Us

Give us a call or mail or fill the support ticket form. We will get back to you soon.