# Finding People & Objects

Interested in running or training your own custom model? You can [train your own model ](/developer-documentation/self-service-training/how-to-train-a-model.md)with no AI experience.\
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Need help? Please contact us. [help@eyepop.ai ](mailto:help@eyepop.ai)

***

## People Category

<figure><img src="https://i.imgur.com/sL1pMlX.jpeg" alt=""><figcaption></figcaption></figure>

### **Person**

Basic model for individual person detection. Works great for finding 1-5 people in a variety of scenes.

**Output:**&#x20;

* Bounding Boxes, Trace ID
* Detected object labels:&#x20;
  * [#people-labels](#people-labels "mention")

**Person w/ 2D Body Points**

Detects a person and identifies key 2D body points for posture and movement analysis.

**Output:**&#x20;

* Bounding Boxes, Trace ID, Body Points
* Detected object labels:&#x20;
  * [#people-labels](#people-labels "mention")
  * [#id-2d-body-parts-labels](#id-2d-body-parts-labels "mention")

### **Person w/ Demographic Data (Age, Gender, Expression)**

Enhances person detection with demographic insights, including age, gender, and facial expressions.

**Output:**&#x20;

* Bounding Boxes, Trace ID
* Detected object labels:
  * [#people-labels](#people-labels "mention")
  * [#gender-labels](#gender-labels "mention")
  * [#age-labels](#age-labels "mention")
  * [#expression-labels](#expression-labels "mention")

### **Person w/ 2D Body Points + Demographic Data**

Combines 2D body point detection with demographic data for a comprehensive analysis of individuals.

**Output:**&#x20;

* Bounding Boxes, Trace ID, Body Points
* Detected object labels:
  * [#people-labels](#people-labels "mention")
  * [#gender-labels](#gender-labels "mention")
  * [#age-labels](#age-labels "mention")
  * [#expression-labels](#expression-labels "mention")
  * [#id-2d-body-parts-labels](#id-2d-body-parts-labels "mention")

### **Person w/ 3D Face, Body & Hands**

Advanced model capturing detailed 3D mapping of a person's face, body, and hand movements.

**Output:**&#x20;

* Bounding Boxes, Trace ID, 3D Body Points, 3D Face Points, 3D Hand Points
* Detected object labels:
  * [#people-labels](#people-labels "mention")
  * [#expression-labels](#expression-labels "mention")
  * [#id-3d-body-parts-labels](#id-3d-body-parts-labels "mention")

***

## Common Objects Category

<figure><img src="https://i.imgur.com/1gm1wnh.jpeg" alt=""><figcaption></figcaption></figure>

### **Person + Common Objects**

Identifies a person in the context of surrounding common objects, enhancing interaction analysis.

**Output:**&#x20;

* Bounding Boxes, Trace ID,&#x20;
* Detected object labels:
  * [#people-labels](#people-labels "mention")
  * [#people-and-common-objects-labels](#people-and-common-objects-labels "mention")

***

## Expert Detection Category

<figure><img src="https://i.imgur.com/MfIqhNX.jpeg" alt=""><figcaption></figcaption></figure>

### **People + Animals**

Detects both people and animals, useful for scenarios involving human-animal interactions.

**Output:** Bounding Boxes, Trace ID

**Output:**&#x20;

* Bounding Boxes, Trace ID,&#x20;
* Detected object labels:
  * [#people-labels](#people-labels "mention")
  * [#animal-labels](#animal-labels "mention")

### **People + Devices**

Focuses on the interaction between people and various electronic devices.

**Output:** Bounding Boxes, Trace ID

* Bounding Boxes, Trace ID,&#x20;
* Detected object labels:
  * [#people-labels](#people-labels "mention")
  * [#device-labels](#device-labels "mention")

### **Person + Sports Equipment**

Specialized in identifying sports-related activities and equipment handled by individuals.

**Output:** Bounding Boxes, Trace ID

* Bounding Boxes, Trace ID,&#x20;
* Detected object labels:
  * [#people-labels](#people-labels "mention")
  * [#sport-labels](#sport-labels "mention")

### **Person + Vehicles**

Designed for scenarios where individuals interact with various types of vehicles.

**Output:** Bounding Boxes, Trace ID

* Bounding Boxes, Trace ID,&#x20;
* Detected object labels:
  * [#people-labels](#people-labels "mention")
  * [#vehicle-labels](#vehicle-labels "mention")

***

## Labels

The following labels are recognized by the EyePop.ai Computer Vision API and provided as prediction results. All models include the label for detecting people under the label of `person`.

#### People Labels

{% code overflow="wrap" %}

```
person
```

{% endcode %}

#### People & Common Objects Labels

{% code overflow="wrap" %}

```csv
eyepop logo, bicycle, car, motorcycle, airplane, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, cat, dog, horse, umbrella, handbag, suitcase, sports ball, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, wine glass, cup, bowl, hot dog, chair, couch, potted plant, bed, dining table, toilet, tv, laptop, mouse, keyboard, cell phone, microwave, sink, refrigerator, book, clockEPDevice, laptop, mouse, remote, keyboard, cell phone, clock, scissors, hair drier, toothbrush
```

{% endcode %}

#### Expression Labels

{% code overflow="wrap" %}

```
Happy, Neutral, Sad, Surprise, Angry, Fear, Disgust
```

{% endcode %}

#### Animal Labels

{% code overflow="wrap" %}

```
bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe
```

{% endcode %}

#### Sport Labels

{% code overflow="wrap" %}

```
frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket
```

{% endcode %}

#### Vehicle Labels

{% code overflow="wrap" %}

```
bicycle, car, motorcycle, bus, train, truck
```

{% endcode %}

#### Age Labels

```
0-2, 3-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60+
```

#### Gender Labels

{% code overflow="wrap" %}

```
Male, Female
```

{% endcode %}

#### Device Labels

{% code overflow="wrap" %}

```
laptop, mouse, remote, keyboard, cell phone, clock, scissors, hair drier, toothbrush
```

{% endcode %}

#### 2D Body Parts Labels

{% code overflow="wrap" %}

```
left eye, left ear, left shoulder, left hip, left elbow, left wrist, left knee, left ankle, right eye, right ear, right shoulder, right hip, right elbow, right wrist, right knee, right ankle, nose, midpoint_lowest, midpoint_highest
```

{% endcode %}

#### 3D Body Parts Labels

{% code overflow="wrap" %}

```
mouth (right), mouth (left), right ear, right eye (outer), right eye, right eye (inner), nose, left eye (inner), left eye, left eye (outer), left ear, right shoulder, left shoulder, left hip, right hip, right elbow, right wrist, right thumb, right pinky, right index, left elbow, left wrist, left thumb, left pinky, left index, right knee, right ankle, right foot index, right heel, left knee, left ankle, left foot index, left heel
```

{% endcode %}


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