Bank Cheque Dataset (Document AI)
Synthetic Bank Cheque
Use Case: OCR
Format: .jpg
Count: 2023
Annotation: No
Bank Statement Dataset (Document AI)
Synthetic Bank Statements
Use Case: OCR
Format: .jpg, png
Count: 5366
Annotation: No
Description: Synthetic bank statements
Recording Condition: - Scanned - Bank_Statement - Web scrapper
Barcode Image Dataset
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Use Case: Barcode Scan Identification
Format: .mov, mp4
Count: 2767
Annotation: No
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
Damaged Car (Minor) Video Dataset
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Use Case: Insurance Claim Process
Format: avi, mkv, mov, mp4, mp5
Count: 48366
Annotation: No
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
Damaged Car Image Dataset
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Use Case: Insurance Claim Process
Format: .jpg
Count: 3958
Annotation: Yes
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
Facial Recognition Datasets
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Use Case: Face Recognition
Format: .jpg
Count: 831
Annotation: No
Description: Images of groups of 2-6 people
Recording Condition: Lighting Condition: - Bright Light Or Sunlight - Shade Or Overcast - Night Or Dim Light
Ghost Image Dataset
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Use Case: Ghost Image Recognition
Format: HEIC (images) & .mov (videos)
Count: 15610
Annotation: No
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
Handwritten Text Dataset
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Use Case: Document AI
Format: HEIC (images) & .mov (videos)
Count: 94053
Annotation: No
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
Historical Dataset
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Use Case: Landmark Identification, Landmarks Tagging
Format: .jpg, mp4
Count: 2087
Annotation: No
Description: Collect images (1 Enrollment photo, 20 Historical photos per Identity) and videos (1 Indoor, 1 Outdoor) from unique identities
Landmark Image Dataset
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Use Case: Landmark Identification, Landmarks Tagging
Format: .jpg
Count: 34118
Annotation: No
Description: Images of landmarks within the context of their environment
Recording Device: Mobile Camera
Recording Condition: - Daylight - Night - Overcast/Rain
Pay Slips Dataset (Document AI)
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Use Case: OCR
Format: .jpg
Count: 2010
Annotation: No
Person Home Activity Dataset
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Use Case: Motion Detection, Security Surveillance
Format: mp4
Count: 10002
Annotation: No
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
Printed Regular/Cursive Text Dataset (Document AI)
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Use Case: Document AI
Format: HEIC (images) & .mov (videos)
Count: 23930
Annotation: No
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
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