Is SSD suitable for real-time applications?
Yes, SSD is designed for real-time object detection and can achieve high frame rates on modern GPUs, making it suitable for applications like autonomous driving and video surveillance.
What datasets are compatible with SSD?
SSD commonly uses datasets formatted like PASCAL VOC and MS COCO. You can also prepare custom datasets following similar annotation formats for training.
Can SSD detect very small objects accurately?
While SSD performs well on medium to large objects, its accuracy on very small objects is limited compared to some two-stage detectors or newer architectures designed specifically for small object detection.
Is SSD actively maintained?
The original SSD implementation is research-focused and not actively maintained, but many forks and reimplementations exist in popular frameworks like PyTorch and TensorFlow.