Labeling bio images for AI just got 10x faster🏎. Today, we’re releasing Biodock Autolabel, and it’s kind of magical. We trained it on thousands of bio images so you can use it without training. (1/6)
Labeling objects is one of the most painful parts of training AI, especially in bio. Clicking 40 times or dragging the pen tool to define an ROI for hundreds of objects takes a very long time. And yet precise labels are so important for AI accuracy. (2/6)
Now, with Autolabel (powered by AI), this becomes two clicks (or one drag!). Our model takes your defined box and generates what it thinks is the precise object polygon label. For most biological objects, it just works, and it’s getting more and more accurate over time. (3/6)
Autolabel has been trained on thousands of bio images, from fluorescent and label-free cells to H&E and colorimetric. If your objects don’t work, just let us know and we’ll see if we can add them to our training set. (4/6)
Of course, this fits in with the rest of the @BiodockAI platform. Use Autolabel to rapidly label your objects. Then, train an AI pipeline on those labels, which connects to your data and outputs to an intuitive results dashboard. (5/6)
Try it for free on Biodock at app.biodock.ai by starting a new AI project and selecting Autolabel. For R&D customers, we can even host your own private Autolabel trained on your use case. Docs at docs.biodock.ai (6/6)
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