Use case
Image generation and analysis
Train models to generate images for text-to-image applications or provide training sets to help models understand and describe what’s show in an image for more human like engagement
Why Labelbox for image tasks
Increase data quality
Generate high-quality, diverse datasets by combining advanced tooling, humans, AI, and on-demand services in a unified solution.
Power text-to-image models
Create pixel-perfect bounding boxes, segmentations, and landmark annotations to help text-to-image models generate accurate and realistic images.
Access on-demand expertise
Embrace on-demand, highly-skilled labeling services, creative writing support, and industry-specific insights that can scale with your business needs.
Enhance image understanding
Train models to truly understand the content of images, enabling advanced apps like image captioning, visual question answering, and scene analysis.
Understanding generative AI image tasks
Image tasks involve training models to create new images or interpret existing ones. These tasks encompass a wide range of applications, including text-to-image, image editing, style transfer, and image captioning. The goal is to train models to understand and generate realistic images aligned with human preferences.
Challenges in generative image tasks
Training models on image generation and interpretation is an iterative process that involves continuous refinement. Common challenges include the need for large datasets with precise annotations, the complexity of capturing nuanced visual concepts, and the difficulty of evaluating subjective aspects.
Unlocking the potential of GenAI with Labelbox
Labelbox offers a comprehensive platform with strong roots in advanced computer vision tasks. Access intuitive annotation tools, customizable workflows, and robust quality control mechanisms to ensure accuracy and consistency. Labelbox labeling services offers a network of expert annotators experienced with complex image labeling tasks.
Customer spotlight
Labelbox's intuitive tooling coupled with post-training labeling services offered a collaborative environment where Speak's internal team, along with external data annotators, could work together seamlessly. Learn more about how Speak uses Labelbox to improving the quality and efficiency of their data labeling.
