Stop Tedious Image Labeling: How to Make Dataset Creation Fun with ImageBaker

Tired of spending countless hours on boring image labeling tasks for your machine learning projects? Image labeling is a tedious necessity, but it doesn't have to be painful. Learn how ImageBaker helps you create labeled datasets faster and with less frustration.

The Image Labeling Bottleneck: Why It's a Problem

High-quality labeled data is the cornerstone of any successful computer vision model. A computer vision engineer, especially those working on anomaly detection, knows the struggle of needing curated, labeled datasets. The problem? The manual image labeling process is:

• Time-consuming: Labeling, training, and evaluating take significant time.
• Tedious: Repetitive annotation tasks lead to burnout.
• Prone to error: Manual labeling can introduce inconsistencies.

But what if you could massively reduce the manual effort while still getting the high-quality data you need?

ImageBaker: Turning Image Annotation into a Creative Process

ImageBaker offers a unique approach to image labeling by transforming individual images into reusable layers. You can manipulate these layers to rapidly generate diverse, annotated datasets. It's like digital baking for your computer vision models! With ImageBaker, you'll be able to create datasets for object detection faster than ever.

Key Features That Make ImageBaker a Game-Changer

ImageBaker is packed with features designed to streamline your image labeling workflow and make it more enjoyable. Here's how:

• Easy Annotation: Use bounding boxes or polygons with an intuitive interface.
• Model Testing: With built-in model testing, find out if your model works with the images baked.
• Layerify Images: Crop images based on annotations to create usable layers.
• Bake Custom States: Alter a layer by dragging, rotating, adjusting opacity, and more to create image variations.
• Export for Training: Export annotated JSON files and baked images for immediate use.

Bake Your Own Datasets: A Step-by-Step Guide

ImageBaker's workflow revolves around the idea of "baking" new labeled images from existing ones. Here’s how it works:

1. Annotate: Use the polygon tools to select objects in your images.
2. Layerify: Create reusable "layers" from your annotations.
3. Bake: Combine and manipulate layers to create new image variations and scenarios.
4. Export: Export your newly created and annotated images.

Boost Productivity with Powerful Shortcuts

ImageBaker offers many powerful shortcuts to streamline productivity.

• Ctrl + C: Copy selected annotation/layer.
• Ctrl + V: Paste copied annotation/layer in its parent image/layer if it is currently open.
• Delete: Delete selected annotation/layer.
• Left Click: Select an annotation/layer at the mouse position.
• Left Click + Drag: Drag a selected annotation/layer.
• Double Left Click: When using polygon annotation, completes the polygon.
• Right Click: Deselect an annotation/layer. While annotating the polygon, undo the last point.
• Ctrl + Mouse Wheel: Zoom In/Out on the mouse position, i.e., resize the viewport.
• Ctrl + Drag: If done on the background, the viewport is panned.
• Ctrl + S: Save State on Baker Tab.
• Ctrl + D: Draw Mode on Baker Tab. Drawing can happen on a selected or main layer.
• Ctrl + E: Erase Mode on Baker Tab.
• Wheel: Change the size of the drawing pointer.

The Benefits of Baking: Why Choose ImageBaker?

ImageBaker addresses common challenges in the data preparation process for computer vision projects and helps you generate realistic labeled datasets by allowing users to generate multiple realistic labeled datasets from a single image. Using ImageBaker offers several key advantages:

• Accelerated labeling: Significantly reduce the time spent on manual annotation.
• Synthetic data generation: Create endless variations from a single image.
• Improved model performance: Train your models on diverse and realistic datasets.
• Fun and engaging: Transform a tedious task into a creative and enjoyable experience.

Get Started with ImageBaker Today!

Ready to say goodbye to boring image labeling and hello to a more efficient and engaging workflow? ImageBaker is open source, ensuring continuous improvements and stability. Try ImageBaker today and transform the way you build computer vision models. Make creating bounding box annotations and polygon annotations easier than ever.