Labeling on Segments.ai is so quick and simple. Plus, the documentation is very good. It does everything we need, so we don’t have to worry about it.
SYNCED CAMERA IMAGES
Identify and classify objects accurately
Combine point clouds with visual camera data to make sure you’ve classified every object correctly. You’ll be able to instantly spot if every object was annotated correctly, and easily differentiate between objects.
Label dynamic objects quickly
Draw a box on the first frame, then let Batch Mode automatically track the object across frames. Instead of drawing hundreds of boxes, your team can focus on data quality.
When you need to correct a label, just update the cuboid in a single row. Segments.ai’s Keyframe Interpolation feature will automatically update that same object across every frame.
MERGED POINT CLOUD
Label static objects more accurately
Get tight-fitting cuboid labels from the start. Turn on Merged Point Cloud Mode, and Segments.ai will merge all frames across the sequence into one big point cloud.
By aggregating the points across frames, the outlines of the static objects become clearly visible, allowing for accurate annotation with a tight-fitting cuboid in one go.
Track and label objects in motion
Speed up the labeling process. Keyframe Interpolation saves you time by automatically filling in an object’s position between two frames, while Smart Cuboid Propagation lets you label a moving object once, then automatically track and label it across frames.
Instead of filling in every frame manually, you’ll just have to verify and adjust the generated labels.
Identify different objects easily
Display point clouds with color, intensity values, or color by point height so you can easily differentiate between various objects and areas in your data.
Whether you’re working with lidar scans, radar, or any other point cloud data, you’ll be able to spot objects and label them faster and with more accuracy.
3D TILES TECHNOLOGY
Upload point clouds of unlimited size
Speed up the process of loading whole scans, no matter how big the file size. The Segments.ai 3D Point Cloud Interface splits point clouds into 3D tiles, then only loads the visible tiles and nearby ones while you’re using the interface.
You’ll save time loading scans, make it easier on your GPU, and keep the labeling experience smooth.
Rotate a cuboid on all 3 axes
Make it easy to annotate objects on a slope. Segments.ai lets you rotate the cuboid on all 3 axes for total labeling flexibility.
You’ll have better control over the orientation of the object, so you can make sure it’s labeled accurately.
And much more …
Segments.ai helps machine learning teams and data engineers move from POC to production, faster.
When you’re ready to scale your labeling process and make it more accurate and efficient, we’re here to help.
Force objects to maintain the same dimensions in every frame. When changing the dimensions of an object with a certain track ID in one frame, the dimensions of the object will be updated in all other frames too.
This can be useful when you want objects to keep their dimensions, regardless of occlusions or noise.
Label on aligned camera imagesTom Staelens2023-07-03T14:57:42+02:00
Keyframe Interpolation is the process of creating intermediate values between a set of keyframes. Segments.ai will automatically fill in the values between the selected keyframes.
Keyframe Interpolation is used for object labels that change over time. For example, say you have a sequence with a moving car, meaning the bounding box around the car will move in each frame. With Keyframe Interpolation, you only need to specify the label at certain key times, and the intermediate labels will be created automatically.
Select different color modesTom Staelens2023-10-24T21:37:07+02:00
By default, map panning is enabled, which means the camera pans along the ground plane. E.g. when you pan up by clicking and dragging, or press w, the camera moves forwards.
When screen panning is enabled, the camera moves along the screen (i.e. along the camera plane). E.g. when you pan up by clicking and dragging, or press w, the camera moves up.
You can change the panning mode in the 3D interface settings.
Segments.ai had all the features required for us to label our images and point clouds, such as overlaying 3D point clouds onto 2D images. This proved very useful at giving labelers context for what they were looking at in 3D, especially in noisy shots.