YOLO Model for carrying out the object detection and localisation task.
The training data consists of a set of images. Each image has an annotation file giving a bounding box and object class label for each object in one of the twenty classes present in the image. There are 9963 images, containing 24640 annotated objects.
The twenty object classses that have been selected are:
- Person: person
- Animal: bird, cat, cow, dog, horse, sheep
- Vehicle: aeroplane, bicycle, boat, bus, car, motorbike, train
- Indoor: bottle, chair, dining table, potted plant, sofa, tv/monitor
For additional details here