[469, 36, 480, 64], [440, 37, 446, 56], [398, 233, 480, 304],
     [452, 39, 463, 63], [424, 38, 429, 50]],
    format=datapoints.BoundingBoxFormat.XYXY,
    spatial_size=F.get_spatial_size(img),
)
labels = [59, 58, 50, 64, 76, 74, 74, 74, 74, 74, 74, 74, 74, 74, 50, 74, 74]
Defining and applying Transforms V2
trans = T.Compose(
    [
        T.ColorJitter(contrast=0.5),
        T.RandomRotation(30),
        T.CenterCrop(480),
    ]
)
img, bboxes, labels = trans(img, bboxes, labels)
Visualizing results
viz = utils.draw_bounding_boxes(F.to_image_tensor(img), boxes=bboxes)
F.to_pil_image(viz).show()
```
Development milestones and future work
Here is where we are in development:

[x] Design API
[x] Write Kernels for transforming Videos, Bounding Boxes, Masks and Labels
[x] Rewrite all existing Transform Classes (stable + references) on the new API:
[x] Image Classification
[x] Video Classification
[x] Object Detection
[x] Instance Segmentation
[x] Semantic Segmentation
