Computer Vision Developer | Embedded system Developer
Pakistan
Use Object Detection to identify and track things within the contents of an image or each frame of live video. Enhances a range of experiences from photography to autonomy.
Bounding boxes provided for each object detected.
Our pre-trained models are trained on a large-scale object detection dataset. Object are listed below:
- Road
person bicycle car motorbike aero plane bus train truck boat traffic light fire hydrant stop sign parking meter bench
- Edibles
banana apple sandwich orange broccoli carrot hot dog pizza donut cake
- Animals
bird cat dog horse sheep cow elephant bear zebra giraffe
- Outdoor Sports frisbee skis snowboard sports ball kite baseball bat baseball glove skateboard surfboard tennis racket
- Dining bottle wine glass cup fork knife spoon bowl
- Room potted plant dining table tv monitor laptop mouse remote keyboard cell phone toothbrush vase book scissors teddy bear backpack umbrella handbag tie
Model Variants
Fast: Optimized for speed, best for processing video streams in real-time or on older devices.
Accurate: Optimized for higher accuracy where prediction quality is more important than speed.
Small: Optimized for size, keep your application bundle size low and conserve bandwidth.
Need the dataset of object which they want to detection and Recognition my Algorithm
Esitmated cost is $132.28 & delivery in 14 daysCurrently working as Computer vision Engineer on various problems such as, custom Object Detection and Recognition, Multi Object Tracking, Activity Recognition.
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