TrainingDataPro commited on
Commit
cc128ce
1 Parent(s): b1db2ad

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +35 -1
README.md CHANGED
@@ -8,4 +8,38 @@ language:
8
  - en
9
  tags:
10
  - code
11
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8
  - en
9
  tags:
10
  - code
11
+ ---
12
+
13
+ # Pigs Detection Dataset
14
+
15
+ The dataset is a collection of images along with corresponding bounding box annotations that are specifically curated for **detecting pigs' heads** in images. The dataset covers different *pig breeds, sizes, and orientations*, providing a comprehensive representation of pig appearances.
16
+
17
+ The pig detection dataset provides a valuable resource for researchers working on pig detection tasks. It offers a diverse collection of annotated images, allowing for comprehensive algorithm development, evaluation, and benchmarking, ultimately aiding in the development of accurate and robust models.
18
+
19
+ ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F4a3e82f15a9ba03a671ed899536d6df1%2Fsssss.png?generation=1691942997350634&alt=media)
20
+
21
+ # Get the Dataset
22
+
23
+ ### This is just an example of the data
24
+
25
+ Contact us via **[[email protected]](mailto:[email protected])** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** to discuss your requirements, learn about the price and buy the dataset
26
+
27
+ # Dataset structure
28
+ - **images** - contains of original images of pigs
29
+ - **boxes** - includes bounding box labeling for the original images
30
+ - **annotations.xml** - contains coordinates of the bounding boxes and labels, created for the original photo
31
+
32
+ # Data Format
33
+
34
+ Each image from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the bounding boxes for pigs detection. For each point, the x and y coordinates are provided.
35
+
36
+ # Example of XML file structure
37
+ ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F43366efcae5881191e65f70e92ba706a%2Fcarbon.png?generation=1691942804196967&alt=media)
38
+
39
+ # Pig Detection might be made in accordance with your requirements.
40
+
41
+ ## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs
42
+
43
+ More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
44
+
45
+ TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**