Datasets:
Add real eval subset (300 real cable imgs) as 'real' config
#2
by lw11 - opened
- README.md +30 -2
- real/real-000.parquet +3 -0
- real/real-001.parquet +3 -0
- real/real-002.parquet +3 -0
README.md
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@@ -19,6 +19,10 @@ configs:
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data_files:
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- split: train
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path: data/*.parquet
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---
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# WireSeg-36K
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| path | what |
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| `data/*.parquet` (config `default`) | RGB image + per-instance COCO-RLE masks + metadata, one row per image |
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| `annotations.json` | full COCO ground truth (36,000 images / 176,387 annotations, single category `cable`) |
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| `depth/*.tar.gz` | per-image metric depth, float32 `[1024,1024]` `.npy`, packed in 100 gzipped tar shards |
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`jaccard_j`, `category`. Masks / bboxes / areas are JSON-encoded per-instance lists
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(RLE = COCO compressed).
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## Splits
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-
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`scene_family` / `n_cable`).
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## Generation
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data_files:
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- split: train
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path: data/*.parquet
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- config_name: real
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data_files:
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- split: test
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path: real/*.parquet
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---
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# WireSeg-36K
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| path | what |
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| `data/*.parquet` (config `default`) | RGB image + per-instance COCO-RLE masks + metadata, one row per image |
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| `real/*.parquet` (config `real`) | **real-image eval subset** (300 imgs) — RGB + COCO-RLE masks, one row per image |
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| `annotations.json` | full COCO ground truth (36,000 images / 176,387 annotations, single category `cable`) |
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| `depth/*.tar.gz` | per-image metric depth, float32 `[1024,1024]` `.npy`, packed in 100 gzipped tar shards |
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`jaccard_j`, `category`. Masks / bboxes / areas are JSON-encoded per-instance lists
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(RLE = COCO compressed).
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## Real eval subset (config `real`)
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A companion set of **300 real cable images** with hand-verified ground truth, for evaluating
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sim-to-real transfer of the synthetic `default` set. These were cherry-picked as the
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**disagreement slice** between base **SAM 3** (prompt `"cable"`) and a cable-tuned **LoRA** —
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i.e. the images the two models most disagreed on, so they concentrate the hard/informative
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cases. Masks are COCO-RLE, single category `cable`.
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- **Images:** 300 real (variable resolution) — `scene_family` = `real_easy` (224) / `real_hard` (76)
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- **Instances:** 2,119 cable masks (COCO RLE)
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```python
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from datasets import load_dataset
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real = load_dataset("DeformX/WireSeg-36K", "real", split="test")
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ex = real[0] # ex["image"] -> PIL.Image
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```
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Fields: `image`, `file_name`, `scene_family`, `masks_rle`, `bboxes`, `areas`, `num_instances`,
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`category`, `width`, `height` — the mask/bbox/area columns match the `default` config (same
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JSON-encoded per-instance COCO-RLE), so decoding code is shared. The synthetic-only QA columns
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(`n_cable`, `wire_area_frac`, `det_*`, `jaccard_j`) are omitted; `width`/`height` are added
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because real images are not a fixed size.
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## Splits
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The `default` config provides a single `train` split; users should split as needed (recommended:
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stratify by `scene_family` / `n_cable`). The `real` config is a held-out `test` set.
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## Generation
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real/real-000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1fe5d890a441571bb1c921fcdcd3c0adc8da350173716265786b7ca930ce731
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size 474851243
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real/real-001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:f706479ed3f20c60bdf4569e427ca0452477e86c7e6973427d04a0bb998a14bb
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size 388957089
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real/real-002.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:b683e38328a70f40667dccb4cb4dd0d6c46f016792ba6b60e0a965672aa5bf52
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size 399646211
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