3 Day Object Detection Challenge

Start building your own object detection model from start to finish and learn foundational computer vision skills.

Start learning now!

Why joining this Challenge

Practicing Object Detection

You will train a machine learning model using a dataset of annotated images or videos to identify and locate specific objects within an image or video.

Applying YOLO +
ImageNet

You will use YOLOv5 algorithm to train a model for Object Detection and Classification on ImageNet dataset containing 1,000 different classes of objects.

Presenting Results in Video Output

You will present your output by making predictions on 20 randomly chosen images and creating a video by concatenating them in a random sequence.

What is Object Detection?

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos with a bounding box.

Object detection algorithms typically leverage machine learning, deep learning and convolutional neural networks (CNN) to produce meaningful features from input images and classify them into various object classes.

Object Detection Use Cases

Autonomous Driving

Object Detection enables vehicles to perceive and understand their environment, make decisions and navigate to their destination without human input.

Medical Image Analysis

Automatically extract meaningful information from medical images such as X-rays, CT scans, and MRI, in order to assist medical professionals to make decisions.

Video Surveillance

Used to identify and track objects of interest in real-time, such as people, vehicles, and other objects, to help detect and prevent crime, monitor traffic, and improve safety

Contactless Checkout

Charge customers based on their purchase, by analyzing the images and data captured from cameras, RFID, and other sensors, without the need of physical interaction.

Defect Detection

Identify manufacturing, surface or packaging defects to improve quality control, reduce rework and waste, as well as increase production efficiency.

Object Counting

Detect and count objects in an image or video, such as people, vehicles, or products to track inventory, monitor traffic flow, or conduct research.

3 Days of Learning

What students say

Marissa S.

Software Engineer

“I’m a software engineer and want to get more into data science. This 3 day object detection Challenge was an ideal intro to learn the entire process.”

Ray N.

Computer Vision Student

“For me, computer vision is absolutely fascinating and I was looking for a training to do my first object detection project. I found it with this Challenge!”

Howard F.

Data Scientist

“At the end, it is always about practice to improve ML skills. This 3 day object detection Challenge was perfect to learn and accomplish an actual result.”

Join the Challenge now!

Start building your own object detection model from start to finish and learn foundational computer vision skills.