Object Detection using MaskRCNN Detectron model

The objective is to use Mask RCNN technique for instance segmentation on the COCO dataset.

Dataset:

COCO dataset!

The COCO dataset is a large image dataset designed for Object Detection, Segmentation, person keypoints detection, and Caption Generation. COCO has several features:

• Object segmentation
• Recognition in context
• Superpixel stuff segmentationo330K images (>200K labeled)
• 1.5 million object instances
• 80 object categories
• 91 stuff categories
• 5 captions per image
• 250,000 people with keypoints

Tasks performed:

•Clone the Facebook Detectron Modelusing the following link:

• Facebook Detectron Model

•Load the pre-trained weights using the following link:

• Pre-trained weights for Mask RCNN model

•Use the Mask RCNN Architecture and the pre-trained weights to generate predictions for our own images or images from the COCO dataset

•Visualize the Results

Input and Output:

• The input I provided:

• The output image with masks