kshitijrajsharma/streetlevel-poles-yolo11n
Object Detection • Updated • 35
Datasets:
image imagewidth (px) 1.02k 2.05k | image_id stringlengths 22 57 | width int32 1.02k 2.05k | height int32 576 4.56k | objects dict | source stringclasses 4
values | panoramax_id stringlengths 36 36 ⌀ | source_url stringlengths 83 128 ⌀ | lat float64 24.8 53.1 ⌀ | lon float64 -4.63 121 ⌀ |
|---|---|---|---|---|---|---|---|---|---|
1057003132659922_jpg.rf.CNq7h7Mk6EJmA5I39TtQ | 2,048 | 1,536 | {
"bbox": [
[
719.9949951171875,
330.0050048828125,
172.42999267578125,
377.57000732421875
]
],
"category": [
0
]
} | roboflow | null | null | null | null | |
1104761543473264_jpg.rf.c0u76C9QNF6LDxfPQpHp | 2,048 | 1,024 | {
"bbox": [
[
928.3300170898438,
63.33000183105469,
403.20001220703125,
784.3400268554688
],
[
445,
396.6700134277344,
88.16000366210938,
230.63999938964844
],
[
571.6699829101562,
316.6700134277344,
53.380001068115234,
375.14... | roboflow | null | null | null | null | |
1162837154209385_jpg.rf.2VzwgNPDuj3pmxmpnm3p | 2,048 | 1,536 | {
"bbox": [
[
312.0150146484375,
330.9700012207031,
133.14999389648438,
540.0800170898438
]
],
"category": [
0
]
} | roboflow | null | null | null | null | |
180446884168539_jpg.rf.K22TxJLZCLZMXk4CdHts | 2,048 | 1,536 | {
"bbox": [
[
1154.010009765625,
204.97500610351562,
145.13999938964844,
643.6699829101562
],
[
978.0050048828125,
354.9800109863281,
89.19000244140625,
493.05999755859375
]
],
"category": [
0,
0
]
} | roboflow | null | null | null | null | |
194570259441153_jpg.rf.qLLtuaj7z1preWVQXXWi | 2,048 | 1,536 | {
"bbox": [
[
1016.0050048828125,
80.9749984741211,
138.75,
667.72998046875
]
],
"category": [
0
]
} | roboflow | null | null | null | null | |
216283257137972_jpg.rf.zSz9wvUu56uQxAKFQ1q7 | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | roboflow | null | null | null | null | |
277337550895350_jpg.rf.fpvrEsab8dGIrRtEO4BX | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | roboflow | null | null | null | null | |
2944174285836400_jpg.rf.qlofhy8WsYOS9296exAV | 2,048 | 1,536 | {
"bbox": [
[
1038.010009765625,
246.97500610351562,
93.69999694824219,
522.8099975585938
],
[
1126.010009765625,
390.9800109863281,
76.36000061035156,
354.79998779296875
]
],
"category": [
0,
0
]
} | roboflow | null | null | null | null | |
302954988079336_jpg.rf.GauoEBGTv3rNhv8wUKvD | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | roboflow | null | null | null | null | |
376791850662501_jpg.rf.HKqnneuh6hTwkt2K18lG | 2,048 | 1,536 | {
"bbox": [
[
1204.0050048828125,
74.9749984741211,
109.08999633789062,
471.989990234375
],
[
960.010009765625,
-0.004999999888241291,
107.87999725341797,
536.510009765625
]
],
"category": [
0,
0
]
} | roboflow | null | null | null | null | |
bryan_negative_1000_pole | 2,048 | 1,792 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1002_pole | 2,048 | 1,151 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1009_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1009_tower | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_100_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1014_pole | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1021_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1022_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1026_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_102_pole | 2,048 | 1,150 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1033_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1034_pole | 2,048 | 1,150 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1035_pole | 2,048 | 1,150 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1036_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_103_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1054_pole | 2,048 | 921 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1059_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_105_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1062_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_106_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1070_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1072_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1074_pole | 2,048 | 1,237 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1084_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1091_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1098_tower | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_109_pole | 2,048 | 1,150 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1101_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1103_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1115_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1116_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1117_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1119_pole | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1120_pole | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1121_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1123_pole | 2,048 | 921 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_112_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1138_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1141_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1142_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1145_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1147_tower | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1149_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1151_tower | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1153_tower | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1157_pole | 2,048 | 922 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1158_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1159_tower | 2,048 | 921 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_115_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1161_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1162_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1165_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1167_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1169_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_116_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_116_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1171_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1173_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1176_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1184_tower | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1186_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1188_tower | 2,048 | 1,112 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1199_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1201_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1203_tower | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1208_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1209_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1214_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1216_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1217_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1222_pole | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1223_pole | 2,048 | 921 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1224_pole | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1228_pole | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1237_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1239_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1240_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1243_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1244_pole | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1246_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1252_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | b4f8a8c3-b4e5-43b7-b961-460af4727d64 | 48.633147 | 7.779658 | ||
bryan_negative_1253_pole | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | 49320bc6-a691-45a9-8d6d-344bc637be54 | 48.120833 | 7.785556 | ||
bryan_negative_1255_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | d93d03d8-d875-4714-8b73-c02ab836569b | 47.750141 | 7.284261 | ||
bryan_negative_1257_pole | 2,048 | 1,152 | {
"bbox": [],
"category": []
} | bryan | 12ded98a-0682-4881-bbe7-5d0df4734feb | 49.392092 | 6.836847 | ||
bryan_negative_1258_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | 531edbc0-389e-4349-8eb3-0b2eec07aea1 | 49.39366 | 6.831295 | ||
bryan_negative_125_pole | 2,048 | 1,112 | {
"bbox": [],
"category": []
} | bryan | null | null | null | null | |
bryan_negative_1260_pole | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | 4d67f162-b96d-4851-926e-3fb2c4486ed9 | 48.942201 | 5.716101 | ||
bryan_negative_1262_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | a5ab3916-1a74-45df-9810-ad0bacabece9 | 48.195796 | 2.949063 | ||
bryan_negative_1262_tower | 2,048 | 1,536 | {
"bbox": [],
"category": []
} | bryan | 5fb96ea7-906d-4061-9022-f8287b22ff9b | 49.25475 | -0.575696 | ||
bryan_negative_1265_pole | 2,048 | 1,024 | {
"bbox": [],
"category": []
} | bryan | d1e1704c-9916-4957-95bc-6f50423bf402 | 48.181863 | 2.968517 |
End of preview. Expand in Data Studio
Street-level Poles & Towers
Object detection dataset of utility poles and towers in street-level imagery. Curated by UC Berkeley as part of the HOT-OSM YOLO experiments. This release packages the working set in three compatible layouts:
- HuggingFace parquet (default loader): images embedded as bytes with
COCO-style boxes (
x, y, w, hin pixels), class labels, and per-image source metadata. Loadable withdatasets.load_dataset(...). - COCO JSON under
coco/instances_{train,val,test}.json. - YOLO dataset description in
data.yaml(Ultralytics-compatible).
Classes
| id | name |
|---|---|
| 0 | pole |
| 1 | tower |
Splits
| split | images | positive | negative | boxes | pole boxes | tower boxes |
|---|---|---|---|---|---|---|
| train | 2,001 | 227 | 1,774 | 338 | 199 | 139 |
| val | 996 | 501 | 495 | 816 | 505 | 311 |
| test | 503 | 256 | 247 | 409 | 273 | 136 |
| total | 3,500 | 984 | 2,516 | 1,563 | 977 | 586 |
The train split is dominated by negative (no-object) samples while val and test are roughly balanced; users training detectors may want to resample.
Geographic coverage
1,051 negative samples carry per-image latitude / longitude / Panoramax id /
source URL sourced from panoramax.openstreetmap.fr.
Coverage spans Western Europe and East Asia (lat 24.8 to 53.1, lon -4.6 to
121.5). Positive samples encode their origin only as a filename prefix
(bryan_*, shanghai_*, oakland_*, berkeley_*).
Artifacts shipped with the repo: artifacts/geo_map.html (interactive map),
artifacts/geo_map.png (static scatter), artifacts/split_class_counts.png,
artifacts/image_counts.png, artifacts/boxes_per_image.png,
artifacts/source_distribution.png.
Source provenance
| source prefix | images |
|---|---|
| bryan | 3,452 |
| roboflow | 42 |
| shanghai | 5 |
| oakland | 1 |
Parquet schema
{
"image": Image(decode=True), # JPEG bytes
"image_id": Value("string"),
"width": Value("int32"),
"height": Value("int32"),
"objects": {
"bbox": Sequence(Sequence(Value("float32"), length=4)), # [x, y, w, h] in pixels
"category": Sequence(ClassLabel(names=["pole", "tower"])),
},
"source": Value("string"),
"panoramax_id": Value("string"),
"source_url": Value("string"),
"lat": Value("float64"),
"lon": Value("float64"),
}
Loading
from datasets import load_dataset
ds = load_dataset("kshitijrajsharma/streetlevel-poles")
ds["train"][0]["image"] # PIL.Image
ds["train"][0]["objects"] # {"bbox": [...], "category": [...]}
For Ultralytics / YOLO, use the shipped data.yaml and image folders
directly, or convert from the parquet shards.
Baseline
A YOLOv11n baseline trained for 10 epochs at imgsz=640:
| metric | value |
|---|---|
| mAP@50 | 0.332 |
| mAP@50-95 | 0.120 |
| precision | 0.455 |
| recall | 0.345 |
See artifacts/baseline_results.png,
artifacts/baseline_confusion_matrix.png, and
artifacts/baseline_pr_curve.png.
Trained weights and an interactive demo:
- Model: https://huggingface.co/kshitijrajsharma/streetlevel-poles-yolo11n
- Demo Space: https://huggingface.co/spaces/kshitijrajsharma/streetlevel-poles-detector
License
Released under CC-BY-SA-4.0. Negative samples derive from Panoramax / OpenStreetMap-sourced imagery; share-alike compatibility is preserved.
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Models trained or fine-tuned on kshitijrajsharma/streetlevel-poles