Real Time Object Detection Demo with YOLOv5 | Deep Learning | Machine Learning

Object detection is typically performed using well-known algorithms such as R-CNN and Fast R-CNN and YOLO. YOLO is particularly popular for achieving real-time object detection owing to its high accuracy and speed.

Searching for the appropriate hardware to kick off your AI project? Look no further than Mixtile Blade 3 board!
✔️ Quad-core Cortex-A76 and Quad-core Cortex-A55
✔️ 6-TOPS NPU
✔️ 48-megapixel image signal processor
✔️ Powerful Arm Mali-G610 GPU
✔️ Up to 32GB LPDDR4 and 256GB eMMC

We tested YOLOv5 using our Blade 3 board to assess its performance and demonstrate its effectiveness.
In this video, we'll show you how to use our product to do amazing RK YOLOv5 Object Detection that will blow your mind.
Whether you're a beginner or a seasoned AI enthusiast, this video is for you with our demo for reference. So, let's get started!🤩

The topics will be covered:
0:00 Sneak peek of Object Detection
0:07 Start
0:13 Things to prepare
0:27 Connect the device
0:58 Run RK YOLOv5 Demo to Capture Objects in Real-time
1:56 Object Detection for Videos and Streaming Sources

#yolo #yolodeeplearning #yolov5 #yoloobjectdetection #yolopython #yoloopencv #rockchip #ai #aiobjectdetection #machinelearning #objectdetection

Learning resources of this video:

Thanks for watching.
Please subscribe, like and comment on our channel for more exciting updates!