PicStork Super 30 Challenge
Title: PicStork AI: Revolutionizing Infrastructure Management with Transmission Tower Marvel
Transmission towers are the vital backbone of our electrical infrastructure, ensuring the seamless flow of power from plants to substations. Enter Transmission Tower Marvel, an AI-powered solution by PicStork that redefines the management of these critical structures. This cutting-edge technology enables accurate counting, defect tracking, and proactive monitoring, empowering authorities for efficient infrastructure planning and maintenance.
Task Workflow:
Step 1: Create a Training Task Initiate your task within a new or existing project on PicStork. Begin by uploading a set of images for training the object detection model. While awaiting image resizing, start annotating by marking the locations of objects you wish the model to detect.
Step 2: Annotate List the objects you want to train and annotate at least 20 examples on your images. This step involves drawing around the objects of interest.
Step 3: Train Click the setup button to begin training. Choose the desired accuracy level (low for faster training, medium for higher accuracy) and select the training purpose: Defect for detecting defects or Counting for counting objects.
Step 4: Detection Create a Detection task by naming it under a new or existing project. Upload images and configure processing parameters based on the chosen task (Counting or Defect). Utilize PicStork Detector Results for comprehensive reports on object counts or defect severity levels.
PicStork Detector ResultsÂ
In an era prioritizing efficiency and precision, PicStork AI transforms transmission tower management with Transmission Tower Marvel. This forward-looking solution harnesses the power of artificial intelligence and machine learning, offering a glimpse into the future of infrastructure maintenance. Experience the next level of efficiency with Transmission Tower Marvel by PicStork.