This project is an object detection website that uses the COCO-SSD model from TensorFlow.js. It allows real-time object detection using a webcam feed.
You can access a live demo of the project here.
- Real-time object detection using a webcam
- Uses TensorFlow.js for running the COCO-SSD model in the browser
- Identifies and labels common objects
- Allow the website to access your webcam.
- The website will start detecting objects in the webcam feed.
- Detected objects will be labeled with their respective names.
The COCO-SSD model can detect the following objects:
| person | bicycle | car | motorcycle | airplane | bus | train | truck| boat | traffic light | fire hydrant | stop sign | parking meter | bench | bird | cat |
| dog | horse | sheep | cow | elephant | bear | zebra | giraffe | backpack | umbrella | handbag | tie | suitcase | frisbee | skis | snowboard | sports ball | kite | baseball bat | baseball glove | skateboard | surfboard | tennis racket | bottle |
| wine glass | cup | fork | knife | spoon | bowl | banana | apple | sandwich | orange | broccoli | carrot | hot dog | pizza | donut | cake | chair | couch | potted plant | bed | dining table | toilet | tv | laptop |
| mouse | remote | keyboard | cell phone | microwave | oven | toaster | sink | refrigerator | book | clock | vase | scissors | teddy bear | hair drier | toothbrush |