Object Detection

Object Detection

Build an object detection model that locates and identifies objects within images.

What You’ll Build

An AI model that can detect and locate multiple objects in images with bounding boxes. Common use cases:

Inventory counting
Safety equipment detection
Vehicle/pedestrian detection
Defect localization

Prerequisites

A SeeMe.ai account (sign up)
Images with objects to detect
(Optional) Python environment with seeme SDK installed

Key Difference from Image Classification

Classification	Detection
“This image contains a cat”	“There’s a cat at position (x, y, w, h)”
One label per image	Multiple objects per image
Simple labeling	Bounding box annotation

Steps

1. Prepare Data 2. Annotate Objects 3. Train Model 4. Deploy 5. Monitor

Supported Formats

YOLO format (txt files with normalized coordinates)
COCO format (JSON with absolute coordinates)
Pascal VOC format (XML annotations)

SeeMe.ai can import and export all these formats.