Datasets:

infinite-dataset-hub
/

HUMANFaceDataset

idx int64 0 99	ImageURL stringlengths 32 32	Expression stringclasses 5 values	Identity stringlengths 8 19	Labels stringclasses 5 values
0	https://example.com/image001.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
1	https://example.com/image002.jpg	Sad	Jane Smith	['SadExpression', 'FemaleIdentity']
2	https://example.com/image003.jpg	Angry	Mike Johnson	['AngryExpression', 'MaleIdentity']
3	https://example.com/image004.jpg	Surprised	Emily Davis	['SurprisedExpression', 'FemaleIdentity']
4	https://example.com/image005.jpg	Neutral	Alex Lee	['NeutralExpression', 'MaleIdentity']
5	https://example.com/image006.jpg	Happy	Richard Roe	['HappyExpression', 'MaleIdentity']
6	https://example.com/image006.jpg	Sad	Lucy Heartstrike	['SadExpression', 'FemaleIdentity']
7	https://example.com/image101.jpg	Angry	David Green	['AngryExpression', 'MaleIdentity']
8	https://example.com/image006.jpg	Surprised	Alice Cooper	['SurprisedExpression', 'FemaleIdentity']
9	https://example.com/image006.jpg	Neutral	John Doe	['NeutralExpression', 'MaleIdentity']
10	https://example.com/image006.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
11	https://example.com/image006.jpg	Sad	Sarah Connor	['SadExpression', 'FemaleIdentity']
12	https://example.com/image006.jpg	Angry	Robert Brown	['AngryExpression', 'MaleIdentity']
13	https://example.com/image106.jpg	Surprised	Alice Cooper	['SurprisedExpression', 'FemaleIdentity']
14	https://example.com/image001.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
15	https://example.com/image007.jpg	Happy	Tom Thumb	['HappyExpression', 'MaleIdentity']
16	https://example.com/image007.jpg	Sad	Chloe Sunshine	['SadExpression', 'FemaleIdentity']
17	https://example.com/image102.jpg	Angry	Mark Brown	['AngryExpression', 'MaleIdentity']
18	https://example.com/image007.jpg	Surprised	Barbara Adams	['SurprisedExpression', 'FemaleIdentity']
19	https://example.com/image007.jpg	Neutral	James Bond	['NeutralExpression', 'MaleIdentity']
20	https://example.com/image007.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
21	https://example.com/image007.jpg	Sad	Jennifer Lawrence	['SadExpression', 'FemaleIdentity']
22	https://example.com/image007.jpg	Angry	William Davis	['AngryExpression', 'MaleIdentity']
23	https://example.com/image107.jpg	Surprised	Olivia White	['SurprisedExpression', 'FemaleIdentity']
24	https://example.com/image002.jpg	Sad	Jane Smith	['SadExpression', 'FemaleIdentity']
25	https://example.com/image008.jpg	Happy	Greg Gomez	['HappyExpression', 'MaleIdentity']
26	https://example.com/image008.jpg	Sad	Emma Starlight	['SadExpression', 'FemaleIdentity']
27	https://example.com/image103.jpg	Angry	Joseph White	['AngryExpression', 'MaleIdentity']
28	https://example.com/image008.jpg	Surprised	Clara Johnson	['SurprisedExpression', 'FemaleIdentity']
29	https://example.com/image008.jpg	Neutral	Mark Twain	['NeutralExpression', 'MaleIdentity']
30	https://example.com/image008.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
31	https://example.com/image008.jpg	Sad	Scarlett Johansson	['SadExpression', 'FemaleIdentity']
32	https://example.com/image008.jpg	Angry	John Miller	['AngryExpression', 'MaleIdentity']
33	https://example.com/image108.jpg	Surprised	Emma Green	['SurprisedExpression', 'FemaleIdentity']
34	https://example.com/image003.jpg	Angry	Mike Johnson	['AngryExpression', 'MaleIdentity']
35	https://example.com/image009.jpg	Happy	David Dane	['HappyExpression', 'MaleIdentity']
36	https://example.com/image009.jpg	Sad	Grace Moonbeam	['SadExpression', 'FemaleIdentity']
37	https://example.com/image104.jpg	Angry	William Black	['AngryExpression', 'MaleIdentity']
38	https://example.com/image009.jpg	Surprised	Deborah Hall	['SurprisedExpression', 'FemaleIdentity']
39	https://example.com/image009.jpg	Neutral	Albert Einstein	['NeutralExpression', 'MaleIdentity']
40	https://example.com/image009.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
41	https://example.com/image009.jpg	Sad	Nicole Kidman	['SadExpression', 'FemaleIdentity']
42	https://example.com/image009.jpg	Angry	James Wilson	['AngryExpression', 'MaleIdentity']
43	https://example.com/image109.jpg	Surprised	Ava Black	['SurprisedExpression', 'FemaleIdentity']
44	https://example.com/image004.jpg	Surprised	Emily Davis	['SurprisedExpression', 'FemaleIdentity']
45	https://example.com/image010.jpg	Happy	Steve Stark	['HappyExpression', 'MaleIdentity']
46	https://example.com/image010.jpg	Sad	Lily Moonriver	['SadExpression', 'FemaleIdentity']
47	https://example.com/image105.jpg	Angry	George Gray	['AngryExpression', 'MaleIdentity']
48	https://example.com/image010.jpg	Surprised	Elizabeth King	['SurprisedExpression', 'FemaleIdentity']
49	https://example.com/image010.jpg	Neutral	William Shakespeare	['NeutralExpression', 'MaleIdentity']
50	https://example.com/image010.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
51	https://example.com/image010.jpg	Sad	Emma Stone	['SadExpression', 'FemaleIdentity']
52	https://example.com/image010.jpg	Angry	Joseph Taylor	['AngryExpression', 'MaleIdentity']
53	https://example.com/image110.jpg	Surprised	Mia Brown	['SurprisedExpression', 'FemaleIdentity']
54	https://example.com/image005.jpg	Neutral	Alex Lee	['NeutralExpression', 'MaleIdentity']
55	https://example.com/image011.jpg	Happy	Ron Randall	['HappyExpression', 'MaleIdentity']
56	https://example.com/image011.jpg	Sad	Sophia Moonstone	['SadExpression', 'FemaleIdentity']
57	https://example.com/image106.jpg	Angry	John King	['AngryExpression', 'MaleIdentity']
58	https://example.com/image011.jpg	Surprised	Felicity Wright	['SurprisedExpression', 'FemaleIdentity']
59	https://example.com/image011.jpg	Neutral	Leonardo Da Vinci	['NeutralExpression', 'MaleIdentity']
60	https://example.com/image011.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
61	https://example.com/image011.jpg	Sad	Reese Witherspoon	['SadExpression', 'FemaleIdentity']
62	https://example.com/image011.jpg	Angry	James Moore	['AngryExpression', 'MaleIdentity']
63	https://example.com/image111.jpg	Surprised	Charlotte Red	['SurprisedExpression', 'FemaleIdentity']
64	https://example.com/image006.jpg	Neutral	Robert Brown	['NeutralExpression', 'MaleIdentity']
65	https://example.com/image012.jpg	Happy	Mike Macaroon	['HappyExpression', 'MaleIdentity']
66	https://example.com/image012.jpg	Sad	Ava Moonwalker	['SadExpression', 'FemaleIdentity']
67	https://example.com/image107.jpg	Angry	Richard Brown	['AngryExpression', 'MaleIdentity']
68	https://example.com/image012.jpg	Surprised	Grace Davis	['SurprisedExpression', 'FemaleIdentity']
69	https://example.com/image012.jpg	Neutral	Isaac Newton	['NeutralExpression', 'MaleIdentity']
70	https://example.com/image012.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
71	https://example.com/image012.jpg	Sad	Anne Hathaway	['SadExpression', 'FemaleIdentity']
72	https://example.com/image012.jpg	Angry	Henry Martin	['AngryExpression', 'MaleIdentity']
73	https://example.com/image112.jpg	Surprised	Sophia Blue	['SurprisedExpression', 'FemaleIdentity']
74	https://example.com/image007.jpg	Neutral	David Wilson	['NeutralExpression', 'MaleIdentity']
75	https://example.com/image013.jpg	Happy	Scott Scott	['HappyExpression', 'MaleIdentity']
76	https://example.com/image013.jpg	Sad	Isabella Moonflower	['SadExpression', 'FemaleIdentity']
77	https://example.com/image108.jpg	Angry	Daniel Smith	['AngryExpression', 'MaleIdentity']
78	https://example.com/image013.jpg	Surprised	Hannah Lee	['SurprisedExpression', 'FemaleIdentity']
79	https://example.com/image013.jpg	Neutral	George Washington	['NeutralExpression', 'MaleIdentity']
80	https://example.com/image013.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
81	https://example.com/image013.jpg	Sad	Julia Roberts	['SadExpression', 'FemaleIdentity']
82	https://example.com/image013.jpg	Angry	Henry Clark	['AngryExpression', 'MaleIdentity']
83	https://example.com/image113.jpg	Surprised	Isabella Yellow	['SurprisedExpression', 'FemaleIdentity']
84	https://example.com/image008.jpg	Neutral	David Anderson	['NeutralExpression', 'MaleIdentity']
85	https://example.com/image014.jpg	Happy	Harry Hill	['HappyExpression', 'MaleIdentity']
86	https://example.com/image014.jpg	Sad	Olivia Moonbrook	['SadExpression', 'FemaleIdentity']
87	https://example.com/image109.jpg	Angry	Michael Davis	['AngryExpression', 'MaleIdentity']
88	https://example.com/image014.jpg	Surprised	Isabella Thompson	['SurprisedExpression', 'FemaleIdentity']
89	https://example.com/image014.jpg	Neutral	Thomas Edison	['NeutralExpression', 'MaleIdentity']
90	https://example.com/image014.jpg	Happy	John Doe	['HappyExpression', 'MaleIdentity']
91	https://example.com/image014.jpg	Sad	Meryl Streep	['SadExpression', 'FemaleIdentity']
92	https://example.com/image014.jpg	Angry	Henry Jones	['AngryExpression', 'MaleIdentity']
93	https://example.com/image114.jpg	Surprised	Harper Pink	['SurprisedExpression', 'FemaleIdentity']
94	https://example.com/image009.jpg	Neutral	Matthew Johnson	['NeutralExpression', 'MaleIdentity']
95	https://example.com/image015.jpg	Happy	David Davis	['HappyExpression', 'MaleIdentity']
96	https://example.com/image015.jpg	Sad	Mia Moonbeam	['SadExpression', 'FemaleIdentity']
97	https://example.com/image110.jpg	Angry	Thomas Wilson	['AngryExpression', 'MaleIdentity']
98	https://example.com/image015.jpg	Surprised	Jenna Collins	['SurprisedExpression', 'FemaleIdentity']
99	https://example.com/image015.jpg	Neutral	Nikola Tesla	['NeutralExpression', 'MaleIdentity']

HUMANFaceDataset

tags: facial, expression, identity

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description: The 'HUMANFaceDataset' is a collection of high-resolution images that capture various facial expressions across different identities. This dataset aims to facilitate research in the fields of emotion recognition, facial expression analysis, and identity verification using machine learning techniques. The dataset is curated to include a diverse set of individuals with varying ages, ethnicities, and genders to ensure broad applicability of the models trained on it.

CSV Content Preview:

ID, ImageURL, Expression, Identity, Labels
001, https://example.com/image001.jpg, Happy, John Doe, ["HappyExpression", "MaleIdentity"]
002, https://example.com/image002.jpg, Sad, Jane Smith, ["SadExpression", "FemaleIdentity"]
003, https://example.com/image003.jpg, Angry, Mike Johnson, ["AngryExpression", "MaleIdentity"]
004, https://example.com/image004.jpg, Surprised, Emily Davis, ["SurprisedExpression", "FemaleIdentity"]
005, https://example.com/image005.jpg, Neutral, Alex Lee, ["NeutralExpression", "MaleIdentity"]

In this CSV preview, each row represents an individual's image from the dataset, with columns indicating the image URL, the facial expression label, the identity of the individual (a placeholder name for anonymity), and a list of labels that specify both the expression and the identity. This format allows for multi-label classification where each image can belong to multiple categories.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'human':

Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=human&dataset=HUMANFaceDataset&tags=facial,+expression,+identity
Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub

Downloads last month: 2

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Size of downloaded dataset files:

9.55 kB

Size of the auto-converted Parquet files:

5.1 kB

Number of rows:

100

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No elements in this dataset have been identified as either opted-out, or opted-in, by their creator.