u/datascienceharp

few-shot annotation triage as a fiftyone panel. folder of reference crops in. ranked dataset, per-image heatmap, and tagged annotation queue out. feedback welcome

a workshop participant at an enterprise i was hosting had this problem: thousands of unlabeled images, a specific object to find, and need to identify which images to prioritize and build an annotation queue

you provide a few reference crops and patch-level CLIP similarity gets you a ranked annotation queue and a heatmap in minutes

helps you identify which images to start annotating so you can bootstap some labels, heatmaps are meat to help you quickly identify where the object of interest is

obv a toy example with the dataset, but let me know if this is useful and if you have some feedback

repo is here: https://github.com/harpreetsahota204/crop_query

u/datascienceharp — 9 hours ago

▲ 92 r/computervision

vggt-omega takes videos and creates a point cloud. fast, and good quality generations for pcd and depth

ofc meta would drop a dope model on a friday afternoon and have me scrambling to integrate it over my birthday weekend

you can quickly get started with the model in fiftyone by following the steps in this repo: https://github.com/harpreetsahota204/vggt_omega

u/datascienceharp — 1 day ago