Datasets:
Tasks:
Object Detection
Modalities:
Text
Languages:
English
Size:
< 1K
Tags:
Target detection
image recognition
Temperature adjustment
switch operation recognition
smart home
License:
Commit ·
6df6b38
verified ·
0
Parent(s):
initial commit
Browse files- .gitattributes +60 -0
- README.md +60 -0
.gitattributes
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.avro filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.lz4 filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.mds filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
# Audio files - uncompressed
|
| 40 |
+
*.pcm filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
*.sam filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
*.raw filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
# Audio files - compressed
|
| 44 |
+
*.aac filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
*.flac filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
*.mp3 filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
*.ogg filter=lfs diff=lfs merge=lfs -text
|
| 48 |
+
*.wav filter=lfs diff=lfs merge=lfs -text
|
| 49 |
+
# Image files - uncompressed
|
| 50 |
+
*.bmp filter=lfs diff=lfs merge=lfs -text
|
| 51 |
+
*.gif filter=lfs diff=lfs merge=lfs -text
|
| 52 |
+
*.png filter=lfs diff=lfs merge=lfs -text
|
| 53 |
+
*.tiff filter=lfs diff=lfs merge=lfs -text
|
| 54 |
+
# Image files - compressed
|
| 55 |
+
*.jpg filter=lfs diff=lfs merge=lfs -text
|
| 56 |
+
*.jpeg filter=lfs diff=lfs merge=lfs -text
|
| 57 |
+
*.webp filter=lfs diff=lfs merge=lfs -text
|
| 58 |
+
# Video files - compressed
|
| 59 |
+
*.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 60 |
+
*.webm filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- Target detection
|
| 4 |
+
- image recognition
|
| 5 |
+
- Temperature adjustment
|
| 6 |
+
- switch operation recognition
|
| 7 |
+
- smart home
|
| 8 |
+
license: cc-by-nc-sa-4.0
|
| 9 |
+
task_categories:
|
| 10 |
+
- object-detection
|
| 11 |
+
language:
|
| 12 |
+
- en
|
| 13 |
+
pretty_name: Water Heater Control Panel Detection Dataset
|
| 14 |
+
size_categories:
|
| 15 |
+
- 1B<n<10B
|
| 16 |
+
---
|
| 17 |
+
|
| 18 |
+
# Water Heater Control Panel Detection Dataset
|
| 19 |
+
|
| 20 |
+
In the current retail e-commerce industry, the proliferation of smart home devices has led to an increasing demand for automatic recognition of their control panels. However, existing detection technologies have low recognition rates in complex environments, making it difficult to meet practical application needs. This dataset aims to provide high-quality images of water heater control panels to improve the accuracy and robustness of target detection algorithms. The data in the dataset is sourced from water heater control panels photographed in various environments, using high-resolution image capture equipment to ensure clarity and detail. We have implemented strict quality control measures, including multiple rounds of annotation, consistency checks, and expert reviews to ensure the accuracy and consistency of the annotations. The data is stored in JPG format, organized as structured files containing images and their related annotations.
|
| 21 |
+
|
| 22 |
+
## Technical Specifications
|
| 23 |
+
|
| 24 |
+
| Field | Type | Description |
|
| 25 |
+
| :--- | :--- | :--- |
|
| 26 |
+
| file_name | string | File name |
|
| 27 |
+
| quality | string | Resolution |
|
| 28 |
+
| panel_type | string | The type of water heater control panel, such as digital, knob, touchscreen, etc. |
|
| 29 |
+
| button_count | int | The number of buttons on the water heater control panel. |
|
| 30 |
+
| display_size | string | The size of the display on the panel, for example, 2 inches. |
|
| 31 |
+
| label_language | string | The language used for labels on the panel, such as Chinese, English. |
|
| 32 |
+
| indicator_light_count | int | The number of indicator lights on the panel. |
|
| 33 |
+
| material_type | string | The main material type of the control panel, such as plastic, metal. |
|
| 34 |
+
| color | string | The color of the control panel. |
|
| 35 |
+
| brand_label | string | The visible brand label on the control panel. |
|
| 36 |
+
|
| 37 |
+
## Compliance Statement
|
| 38 |
+
|
| 39 |
+
<table>
|
| 40 |
+
<tr>
|
| 41 |
+
<td>Authorization Type</td>
|
| 42 |
+
<td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
|
| 43 |
+
</tr>
|
| 44 |
+
<tr>
|
| 45 |
+
<td>Commercial Use</td>
|
| 46 |
+
<td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
|
| 47 |
+
</tr>
|
| 48 |
+
<tr>
|
| 49 |
+
<td>Privacy and Anonymization</td>
|
| 50 |
+
<td>No PII, no real company names, simulated scenarios follow industry standards</td>
|
| 51 |
+
</tr>
|
| 52 |
+
<tr>
|
| 53 |
+
<td>Compliance System</td>
|
| 54 |
+
<td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
|
| 55 |
+
</tr>
|
| 56 |
+
</table>
|
| 57 |
+
|
| 58 |
+
## Source & Contact
|
| 59 |
+
|
| 60 |
+
If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/7dfb0ce346e9a2330a5383e81c1deb98?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com
|