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End of preview. Expand in Data Studio
EPRI Transmission H-frame Imagery
Aerial imagery of H-frame electric transmission structures with bounding-box and wire-polyline annotations (EPRI / Kaggle "Electric Transmission" H-frame set).
- 8,038 labeled images, 2,640 × 1,485 px.
- Original CSV annotations live in a 5,280 × 2,970 canvas; all coordinates were scaled 0.5× to match the images.
- 70 / 15 / 15 train / val / test split (seed 42).
Classes
| id | class | geometry | supercategory | is_line |
|---|---|---|---|---|
| 0 | crossarm | bbox | component | false |
| 1 | h_structure | bbox | structure | false |
| 2 | insulator | bbox | component | false |
| 3 | pole | bbox | structure | false |
| 4 | x_brace | bbox | component | false |
| 5 | conductor | polyline | line | true |
| 6 | shield_wire | polyline | line | true |
subclass_id / subclass_name carry the per-annotation occlusion tag: none (0), both (1), obscured (2), truncated (3).
Schema
Each row: image, image_id, file_name, width, height, and annotations
(columnar lists): id, category_id, category_name, supercategory,
segmentation (flat [x0,y0,x1,y1,...]), bbox ([x,y,w,h]), area, iscrowd,
is_line, subclass_id, subclass_name.
Merging with the TTPLA cable dataset
Shares its schema with grantmwilkinson/epri-transmission-ttpla
so the two combine for power-line training. Filter supercategory == "line" to select
every wire across both datasets. Here wires are polyline centerlines (is_line = true)
— rasterize with cv2.polylines(..., thickness=k); TTPLA cables are filled polygons
(is_line = false, use cv2.fillPoly).
Please consult the original EPRI / Kaggle terms before redistribution or commercial use.
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