All modelsAmazon Rekognition
Common objects detection and image classification model by AWS Rekognition.
Intended Use
Amazon Rekognition's object detection model is primarily used for detecting objects, scenes, activities, landmarks, faces, dominant colors, and image quality in images and videos. Some common use cases include:
Detect and label common objects in images
Identify activities and scenes in visual content
Enable content moderation and filtering
Enhance image search capabilities
Performance
Amazon Rekognition's object detection model has been reported to have high accuracy ind detecting objects and scenes in images and videos. Its capabilities include:
Can detect thousands of object categories
Provides bounding boxes for object locations
Assigns confidence scores to detections
Limitations
the performance of the model may be limited by factors such as the quality and quantity of training data, the complexity of the image content, or the accuracy of the annotations. Additionally, Amazon Rekognition may have detection issues with black and white images and elderly people.
Other limitations include:
May struggle with small or partially obscured objects
Performance can vary based on image quality and lighting
Limited ability to understand context or relationships between objects
Cannot identify specific individuals (separate face recognition API for that)
May have biases in detection rates across different demographics