DetectionSuite is a set of tool that simplify the evaluation of most common object detection datasets with several object detection neural networks.

The idea is to offer a generic infrastructure to evaluates object detection algorithms againts a dataset and compute most common statistics:

• Intersecion Over Union
• Precision
• Recall

• Linux
• MacOS

• YOLO
• COCO
• ImageNet
• Pascal VOC
• Jderobot recorder logs
• Princeton RGB dataset [1]
• Spinello dataset [2]

• YOLO (darknet)
• TensorFlow
• Keras
• Caffe
• Background substraction

• WebCamera/ USB Camera
• Videos
• Streams from ROS
• Streams from ICE
• JdeRobot Recorder Logs

Sample Generation Tool has been developed in order to simply the process of generation samples for datasets focused on object detection. The tools provides some features to reduce the time on labelling objects as rectangles.

Check the intallation guide here.

The best way to start is with our beginner's tutorial for DetectionSuite. If you have any issue feel free to drop a mail [email protected] or create an issue for the same.

GUI	Screenshot 1
Screenshot 2	Screenshot 3