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Annotated LCD Utility Meter Dials Dataset
Stop paying your ML engineers to draw bounding boxes. This is a premium, 100% non-synthetic dataset of 5,590 expertly annotated images of digital LCD/LED utility meter displays — captured in real basements, stairwells and utility closets, not in a studio.
Thousands of hours of manual annotation are already done. Your team plugs the folder into Ultralytics and starts training in the next five minutes.
🎁 Bonus: pre-trained weights included Purchase this complete dataset and receive our proprietary, production-ready neural network trained explicitly on these 12 digital classes. The model has achieved a proven mAP50-95 of 94%, allowing you to bypass months of R&D and deploy instantly.
Dataset Summary
| Internal ID | DS_electro_scor_labeled_v1_2026 |
| Valid kits (Img + YOLO + XML) | 5,590 |
| Annotation formats | YOLO .txt (normalized) + PASCAL VOC .xml (absolute px) |
| Classes | 12 |
| Resolution | longest side exactly 640 px (VRAM-optimized) |
| Bonus model | LCD-Det-12Class-v1.pt (included with full set) |
Dataset Structure
DS_electro_scor_labeled_v1_2026/
├── Images/ # 5,590 JPG photos of utility meters
├── Labels_YOLO/ # normalized relative coordinates (.txt)
├── Labels_PASCAL_VOC/ # absolute pixel coordinates (.xml)
├── classes.txt # 12-class master list
└── README_Documentation.txt
12-Class Digital Taxonomy
Digits 0–9 (IDs 0–9) plus two structural anchors: comma (ID 10) and scoreboard (ID 11) — the display region itself. Unlike mechanical counters, LCD and LED segments have no half-rolled intermediate states, so the taxonomy stays lean and detection stays sharp.
Why This Data Beats Scraped Alternatives
- Built for "in-the-wild" conditions — blinding glare on protective glass, low-contrast matrices in dim basements, steep perspective angles, faded segments: exactly the frames that break naive CV pipelines.
- Broad hardware variation — meters from 30+ leading European manufacturers across electricity, heat, smart water and gas devices, so your network learns to decode characters instead of memorizing a chassis.
- Dual-format labels out of the box — works with YOLO, SSD, Faster R-CNN and anything else that speaks VOC or YOLO.
- Real photos only — no synthetic renders, no augmentation padding the file count.
Preview: 50 Free Sample Kits
This repository hosts the first 50 kits (Image + YOLO + XML) so you can audit label quality, class balance and image conditions before you spend a cent.
👉 Full 5,590-image dataset + free pre-trained weights: utilitymeters.ai/datasets-utility-meters/dataset-lcd-meters
Pricing
From $1.12/image, scaling down to $0.80/image by volume. Buying the maximum volume unlocks a 15% discount and the LCD-Det-12Class-v1.pt weights for free.
Full terms: utilitymeters.ai/pricing
More from UtilityMeters.ai
We maintain a large catalogue of annotated and raw metering data — mechanical dials, hybrid mixes, and serial-number sets (up to 21,914 images per collection, 22–35 class taxonomies).
Browse our other datasets: huggingface.co/utilitimetersai
Licensing
Datasets (images + annotations) ship with full commercial rights for training proprietary ML/AI applications. The bonus pre-trained models are provided free of charge under GNU AGPL-3.0. Redistribution or reselling of raw files is prohibited.
Use Cases
Automated meter reading (AMR) apps, utility-company billing verification, smart-city retrofits, field-technician mobile tools, insurance and property inspection automation.
Need a custom slice — specific manufacturers, region, or a different taxonomy? Contact us at utilitymeters.ai.
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