# Which data labeling platforms support computer vision models using bounding boxes and point cloud annotation?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Bounding boxes are table stakes across the entire <a class="a a--md" elv="true" href="https://www.g2.com/categories/data-labeling">Data Labeling category</a>, while point cloud and LiDAR support is genuinely rare — and that's what should drive the shortlist.</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/taskmonk/reviews"><strong>Taskmonk</strong></a>: One of the few platforms handling six modalities in one environment: text, image, audio, video, LiDAR, and DICOM. Best when a project outgrows 2D and you'd otherwise be adding a second tool. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sama/reviews"><strong>Sama</strong></a>: 2D and 3D image and video including LiDAR and sensor fusion, with an automotive client base — GM, Ford, Continental — which is where most point cloud work lives. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/segments-ai/reviews"><strong>Segments.ai</strong></a>: Multi-sensor and point cloud labeling, with label-and-review in one workflow. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/superannotate/reviews"><strong>SuperAnnotate</strong></a>: Strongest on the 2D side: bounding boxes, segmentation, and review workflows. Verify point cloud support directly against your sensor format rather than assuming it from the category listing.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/encord/reviews"><strong>Encord</strong></a>: Built around multimodal data. Its automotive customer base suggests 3D capability worth confirming in a demo.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Bounding box quality is where most of these compete, but if LiDAR is on your roadmap at all, choose for it now. Migrating a labeled 2D dataset into a 3D-capable tool later is more painful than it sounds.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For anyone doing point cloud work, which platform handled your sensor fusion setup without custom engineering, and how good was the 3D interface compared to the 2D one in the same product?</p>

##### Post Metadata
- Posted at: 25 days ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

The advice to choose for point cloud now rather than migrating a 2D dataset into a 3D-capable tool later is genuinely underrated. I&#39;ve seen that migration cost blindside teams who assumed it would be a simple export-import.

##### Comment Metadata
- Posted at: 22 days ago
- Author title: Marketing Executive





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