Build better models with fewer images. Faster.
Organize your training data and annotations. Apply intelligent augmentations to your existing images. Spend less on GPUs.
Roboflow Organize saves teams time and money building computer vision models.
Focus on improving your models, not your infrastructure.
Roboflow Organize is like if Dropbox were built to accelerate computer vision development.
Reduce collaboration overhead.
Create one source of truth for your data. Inspired by Pinterest's Voyager, your team's datasets and annotations are seamlessly together, improving reproducibility. No more countless folders and sprawling S3 buckets.
You're wasting expensive GPU time.
Preprocessing and augmenting your images before training saves up to 20 percent of your GPU time and increases model reproducibility. Increase training speed, identify problematic images, and decrease your costs.
More data without collecting more data.
Leverage augmentations to correct for underrepresented image examples in your dataset. Identify best preprocessing and augmentations for your specific task. Hold teams accountable with hold out test sets.
Integrate with your existing tooling.
Seamlessly convert your data from one annotation format (say, COCO JSON) to another (like Pascal VOC XML). Roboflow Organize enables you to spend more time building better models, not writing one-off utils.
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