Damaged Car Image Dataset

Annotated damaged cars photos with relevant metadata

Damaged Car Image Dataset

Use Case: Insurance Claim Process

Format: .jpg

Count: 3958

Annotation: Yes

X

Description: 490+ cars and 3958 car photos with annotated images (along with metadata) of damaged cars. Covers all sides of the car (8 photos for each car)

Recording Device: Mobile Camera

Recording Condition: Mixed Lighting Conditions

Damaged Car (Minor) Video Dataset

360 degrees walk around videos of cars with damages

Damaged Car (Minor) Video Dataset

Use Case: Insurance Claim Process

Format: avi, mkv, mov, mp4, mp5

Count: 48366

Annotation: No

X

Description: 360 degrees walk around videos of cars with damages at a normal, steady pace with top and bottom always visible Damage: a scratch, dent, ding, or crack that is larger than a golf ball in length Outer Panel Damage: bumpers, fenders, quarter panels, doors, hoods, and trunks Location: Asia, US, Canada, and Europe

Recording Device: Mobile Camera

Recording Condition: Mixed Lighting Conditions

Person Home Activity Dataset

Video of people outside homes at front door & inside home engaging in certain actions

Person Home Activity Dataset

Use Case: Motion Detection, Security Surveillance

Format: mp4

Count: 10002

Annotation: No

X

Description: Type 1: videos of people immediately outside of homes at front doors - Person walks toward/past the front door/home - Person walks away from the door/home - One or more person doing an extended activity (standing, looking around, talking) 6-20ft from doorbell. Type 2: videos of people inside the home engaging in certain actions - Sitting and eating, Working at desk, Reading, Sleeping, waking up and getting out of bed, Exercising / Dancing, Falling down, lying hurt on the floor

Recording Condition: Low Light: 20% - Ambient Indoor/Outdoor Lighting - Twilight/Golden Hour Regular Light: 40% - Normal Indoor/Outdoor - Uniformly Lit - Not Overly Saturated/Harsh Bright Light: 40% - Outdoor, Mid-Afternoon, Clear Sky - Indoor Natural Light, Or Brightly Lit - Avoid Over-Saturation Or Blown-Out Scenes

Facial Recognition Datasets

Images of groups of 2-6 people

Facial Recognition Datasets

Use Case: Face Recognition

Format: .jpg

Count: 831

Annotation: No

X

Description: Images of groups of 2-6 people

Recording Condition: Lighting Condition: - Bright Light Or Sunlight - Shade Or Overcast - Night Or Dim Light

Handwritten Text Dataset

Live photos with handwritten text

Handwritten Text Dataset

Use Case: Document AI

Format: HEIC (images) & .mov (videos)

Count: 94053

Annotation: No

X

Description: Live Photos with Handwritten text for Japanese, Korean & Russian

Recording Device: iPhone & iPad Camera

Recording Condition: - Aggressive Lighting/Glare - Camera Flash On - Colored Light - Low Light, No Camera Flash - Normal

Printed Regular/Cursive Text Dataset (Document AI)

Live photos with printed regular and cursive text

Printed Regular/Cursive Text Dataset (Document AI)

Use Case: Document AI

Format: HEIC (images) & .mov (videos)

Count: 23930

Annotation: No

X

Description: Live Photos with Handwritten text for Japanese, Korean & Russian

Recording Device: iPhone & iPad Camera

Recording Condition: - Aggressive Lighting/Glare - Camera Flash On - Colored Light - Low Light, No Camera Flash - Normal

Ghost Image Dataset

Sets of still images, where natural or artificial lighting creates a digital artifact known as ghost

Ghost Image Dataset

Use Case: Ghost Image Recognition

Format: HEIC (images) & .mov (videos)

Count: 15610

Annotation: No

X

Description: Sets of still images taken in either daytime or nighttime settings where natural or artificial lighting create a digital artifact known as a ghost.

Recording Device: iPhone & iPad Camera

Recording Condition: - Day Time - Night Time

Barcode Image Dataset

Images of barcodes from multiple geographies

Barcode Image Dataset

Use Case: Barcode Scan Identification

Format: .mov, mp4

Count: 2767

Annotation: No

X

Description: Barcode Tye: Code128, UPC/EAN, DataMatrix, PDF417, Aztec, Multi-code

Recording Device: Honor 9A, Huawei mate 10 pro, iPad, iPhone (6S, 7 Plus, SE, X, 11, 12, 12 mini, 12 Pro Max), Moto (E4, onepower), One plus (6T, 7T, One), Oppo A3s, Real Me, Samsung (A20, A30, A32, M12, M31), Vivo z1pro, Xiaomi Mi10T+

Recording Condition: - Bright_Indoor - Low_Indoor - Low_Outdoor - Normal - Sunny

Landmark Image Dataset

Images of famous landmarks within the context of their environment

Landmark Image Dataset

Use Case: Landmark Identification, Landmarks Tagging

Format: .jpg

Count: 34118

Annotation: No

X

Description: Images of landmarks within the context of their environment

Recording Device: Mobile Camera

Recording Condition: - Daylight - Night - Overcast/Rain

Historical Dataset

Images & Videos of famous historical places

Historical Dataset

Use Case: Landmark Identification, Landmarks Tagging

Format: .jpg, mp4

Count: 2087

Annotation: No

X

Description: Collect images (1 Enrollment photo, 20 Historical photos per Identity) and videos (1 Indoor, 1 Outdoor) from unique identities

Bank Statement Dataset (Document AI)

Synthetic Bank Statements

Bank Statement Dataset (Document AI)

Use Case: OCR

Format: .jpg, png

Count: 5366

Annotation: No

X

Description: Synthetic bank statements

Recording Condition: - Scanned - Bank_Statement - Web scrapper

Pay Slips Dataset (Document AI)

Synthetic Pay Slips

Pay Slips Dataset (Document AI)

Use Case: OCR

Format: .jpg

Count: 2010

Annotation: No

X

Description: Synthetic Pay Slips

Recording Condition: - Scanned - Web scrapper

Bank Cheque Dataset (Document AI)

Synthetic Bank Cheque

Bank Cheque Dataset (Document AI)

Use Case: OCR

Format: .jpg

Count: 2023

Annotation: No

X

Description: Synthetic bank cheque

Recording Condition: - Clicked Images - Scanned - Web scrapper

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