Upload fiftyone.yml with huggingface_hub

fiftyone.yml

@@ -1,12 +1,13 @@
-description: 'A 2,227-image, media-only sample of InsPLAD-det (UAV power line inspection
-  imagery), built for a hands-on FiftyOne workshop on rare-class data curation. No
-  label fields are attached by design -- this is a genuine cold-start pool for practicing
-  compression, embedding, seeded similarity mining, and annotation prioritization
-  before ever touching a model. A deterministic 4-tier stratified sample (seed=51)
-  drawn from the full 10,561-image InsPLAD-det: all 242 `tower id plate` images (the
-  rare mining target), 562 images from 14 intact drone-flight sequences (a real near-duplicate
-  wall), 1,210 images across `polymer insulator` / `glass insulator` / `yoke` (clean
-  embedding clusters), and 213 long-tail images for texture.'
+description: 'A 1,754-image, media-only sample of InsPLAD-det (UAV power line inspection
+  imagery), built for a hands-on FiftyOne workshop on a complete annotation workflow.
+  No label fields are attached by design; this is a genuine cold-start pool for practicing
+  compression, embedding, seeded similarity search, and annotation prioritization
+  before ever touching a model. A deterministic, balanced stratified sample (seed=51)
+  drawn from the full 10,561-image InsPLAD-det: roughly 217 images each of `tower
+  id plate`, `polymer insulator`, `glass insulator`, and `yoke` (deliberately capped
+  at the same quota so no class dominates the annotation budget), 574 images from
+  14 intact drone-flight sequences (a real near-duplicate wall), and 215 long-tail
+  images for texture.'
 format: FiftyOneDataset
 license: cc-by-nc-3.0
 name: insplad-workshop-pool
@@ -15,6 +16,8 @@ tags:
 - data-curation
 - fiftyone
 - image
+- image
+- object-detection
 - object-detection
 - power-line-inspection
 - uav