Datasets:

TrainingDataPro
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pigs-detection-dataset

Tasks:

Image-to-Image

Image Classification

Object Detection

Languages: English

Tags: code

License: cc-by-nc-nd-4.0

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id int32 1 28	image image	mask image	bboxes string
1			"[{'type': 'box', 'label': 'pig_face', 'points': [(59.5, 18.27), (142.3, 109.0)]}]"
2			"[{'type': 'box', 'label': 'pig_face', 'points': [(77.27, -8.82), (260.37, 228.82)]}]"
3			"[{'type': 'box', 'label': 'pig_face', 'points': [(348.8, 98.03), (580.0, 342.41)]}]"
4			"[{'type': 'box', 'label': 'pig_face', 'points': [(44.0, 114.1), (141.4, 185.0)]}]"
5			"[{'type': 'box', 'label': 'pig_face', 'points': [(22.0, 112.6), (92.3, 183.1)]}]"
6			"[{'type': 'box', 'label': 'pig_face', 'points': [(31.79, 386.3), (438.6, 699.23)]}]"
7			"[{'type': 'box', 'label': 'pig_face', 'points': [(74.54, 31.62), (114.23, 68.22)]}]"
8			"[{'type': 'box', 'label': 'pig_face', 'points': [(39.2, 51.2), (103.65, 121.7)]}, {'type': 'box', 'label': 'pig_face', 'points': [(72.06, 35.3), (131.5, 99.8)]}]"
9			"[{'type': 'box', 'label': 'pig_face', 'points': [(4.92, 79.1), (88.6, 148.0)]}]"
10			"[{'type': 'box', 'label': 'pig_face', 'points': [(31.3, 111.5), (127.2, 182.0)]}]"
11			"[{'type': 'box', 'label': 'pig_face', 'points': [(11.9, 5.5), (54.6, 49.9)]}]"
12			"[{'type': 'box', 'label': 'pig_face', 'points': [(33.1, 47.1), (76.7, 79.8)]}]"
13			"[{'type': 'box', 'label': 'pig_face', 'points': [(340.9, 3.4), (457.6, 148.5)]}]"
14			"[{'type': 'box', 'label': 'pig_face', 'points': [(2.52, 59.68), (75.89, 129.04)]}]"
15			"[{'type': 'box', 'label': 'pig_face', 'points': [(77.71, 45.3), (152.29, 104.7)]}]"
16			"[{'type': 'box', 'label': 'pig_face', 'points': [(24.05, 112.8), (135.96, 210.42)]}]"
17			"[{'type': 'box', 'label': 'pig_face', 'points': [(39.04, 3.9), (108.5, 56.1)]}]"
18			"[{'type': 'box', 'label': 'pig_face', 'points': [(308.64, 12.58), (541.95, 281.96)]}]"
19			"[{'type': 'box', 'label': 'pig_face', 'points': [(158.5, 20.7), (241.1, 98.6)]}]"
20			"[{'type': 'box', 'label': 'pig_face', 'points': [(41.7, 57.61), (119.71, 125.9)]}]"
21			"[{'type': 'box', 'label': 'pig_face', 'points': [(8.44, 68.37), (55.2, 121.44)]}, {'type': 'box', 'label': 'pig_face', 'points': [(202.08, 96.4), (256.89, 146.26)]}]"
22			"[{'type': 'box', 'label': 'pig_face', 'points': [(428.9, 198.3), (606.9, 466.8)]}, {'type': 'box', 'label': 'pig_face', 'points': [(9.5, 43.3), (198.2, 241.2)]}, {'type': 'box', 'label': 'pig_face', 'points': [(149.31, 242.2), (343.4, 503.3)]}]"
24			"[{'type': 'box', 'label': 'pig_face', 'points': [(17.97, 115.29), (101.75, 174.11)]}, {'type': 'box', 'label': 'pig_face', 'points': [(151.13, 78.35), (216.07, 126.15)]}]"
25			"[{'type': 'box', 'label': 'pig_face', 'points': [(0.6, 56.9), (352.1, 395.4)]}]"
26			"[{'type': 'box', 'label': 'pig_face', 'points': [(31.5, 131.6), (273.8, 280.0)]}]"
27			"[{'type': 'box', 'label': 'pig_face', 'points': [(129.2, 1.8), (235.0, 87.26)]}]"
28			"[{'type': 'box', 'label': 'pig_face', 'points': [(19.34, 80.31), (266.85, 313.91)]}]"

Pigs Detection Dataset

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.

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.

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This is just an example of the data

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Dataset structure

images - contains of original images of pigs
boxes - includes bounding box labeling for the original images
annotations.xml - contains coordinates of the bounding boxes and labels, created for the original photo

Data Format

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.