Categorization
We have the following categories:
Objects:
Parcel,
Small Load Carrier,
Pallet,
Other Packaging,
Product,
Fork Lift,
AGV,
Pallet truck,
Label,
Multiple,
Container/Trailer,
Conveyor Belt,
Arbitrary,
Other,
CV Tasks:
Object Detection,
Instance Segmentation,
Object Re-Identification,
Object Tracking,
Action Recognition,
3D Object Detection,
3D Shape Reconstruction,
3D Dimension Estimation,
Image Enhancement,
Edge Detection,
Plane Segmentation,
Keypoint Matching,
Activity Recognition,
Pointcloud Segmetation,
3D Positioning,
Augmented Reality,
Data Type:
RGB,
RGBD,
Pointcloud,
Synthetic,
Real,
Approach Type:
Classical Approach,
Deep Learning,
Fiducial Markers,
Template Matching,
Application:
Label Recognition,
Item Recognition,
Tracking and Tracing,
Volume Estimation,
Verify Completeness,
Verify Occupancy,
Verify Guidelines/Requirements,
Damage and Tampering Detection,
Document Analysis,
Other Assistance,
Pallet Handling,
Depalletization,
Pick-and-Place,
AGVs,
Order Picking,
Packaging for Shipment,
Quality Control,
Vehicle Traffic,
Inventory Management,
Sorting,
Verify Right Orders,
Cold Storage,
Delivery,
Loading and Unloading,
Safety,
multi-level mezzanines and vertical warehouses,
Recycling,
Assembly and Repair,
Literature Review,
Mapping
Objects:
c01: Parcel
c02: Small Load Carrier
c03: Pallet
c04: Other Packaging
c05: Product
c06: Fork Lift
c07: AGV
c08: Pallet truck
c09: Label
c20: Multiple
c60: Container/Trailer
c61: Conveyor Belt
c98: Arbitrary
c99: Other
CV Tasks:
t01: Object Detection
t02: Instance Segmentation
t03: Object Re-Identification
t04: Object Tracking
t05: Action Recognition
t06: 3D Object Detection
t07: 3D Shape Reconstruction
t08: 3D Dimension Estimation
t60: Image Enhancement
t61: Edge Detection
t62: Plane Segmentation
t63: Keypoint Matching
t64: Activity Recognition
t65: Pointcloud Segmetation
t66: 3D Positioning
t80: Augmented Reality
Data Type:
d01: RGB
d02: RGBD
d03: Pointcloud
d50: Synthetic
d51: Real
Approach Type:
m01: Classical Approach
m02: Deep Learning
m03: Fiducial Markers
m04: Template Matching
Application:
a01: Label Recognition
a02: Item Recognition
a03: Tracking and Tracing
a04: Volume Estimation
a05: Verify Completeness
a06: Verify Occupancy
a07: Verify Guidelines/Requirements
a08: Damage and Tampering Detection
a09: Document Analysis
a21: Other Assistance
a22: Pallet Handling
a23: Depalletization
a24: Pick-and-Place
a25: AGVs
a26: Order Picking
a27: Packaging for Shipment
a50: Quality Control
a51: Vehicle Traffic
a52: Inventory Management
a60: Sorting
a61: Verify Right Orders
a62: Cold Storage
a63: Delivery
a64: Loading and Unloading
a65: Safety
a66: multi-level mezzanines and vertical warehouses
a67: Recycling
a68: Assembly and Repair
a99: Literature Review