AI Glossary
Explore our glossary to discover key terms and concepts in artificial intelligence, machine learning and computer vision.
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XML
Workflow
Weights
Version
Validate
Two Stage Detector
Tune
Train
Tradeoff
TPU
Tile
TFRecord
TensorFlow.js
TFJS
Test Set Bleed
TensorRT
TensorFlow Lite
TensorFlow
Tensorboard
Tensor Core
Tensor
Synthetic Data
Subjective
Subjective
SOTA
Single Shot Detector
SSD
Split
Self-Adversarial Training
Runtime Environment
Resolution
Requirements
Repo
Remap
Regularization
Region Attribute
Realtime
RasPi
PyTorch
Production
Pretrained Model
Preprocessing
Prediction
Polygon
Pipeline
Computer Vision Platform
Performance
Pascal VOC
PaddlePaddle
Outsourced Labeling
Output
OpenVINO
OpenCV
Open Neural Network Exchange
ONNX
Offline Prediction
Occlusion
Null Annotation
Non-Maximum Suppression
NMS
Neuron
Neural Architecture Search
Neck
Mosaic
Model Zoo
Model Size
Mobile Deployment
Mixed Precision
Loss Function
Localization
Light Detection and Ranging
LiDAR
Layer
Keypoint Detection
JSON
Hosted Model
Hold-Out Set
Head
Gradient
GPU Memory
GPU
Generalize
GAN Synthesis
Framework
FP16
FP8
Floating Point Operations Per Second
FLOPS
Forward Looking Infrared
FLIR
Filter Null
Feature Fusion
Feature
FastAI
Family
False Positive
False Negative
Environment
EMA
Edge Deployment
Early Stopping
Domain Specific
Docker
Distributed
Differentiability
Deployment
Darknet
Custom Head
Custom Dataset
Convolution
Convergence
Container
Confidence Threshold
Confidence
Classification
Class Balance
Checkpoint
Channel
Black Box
Batch Size
Batch Inference
Backpropagation
Augmentation
AUC (Area Under the Curve)
Annotation Group
Annotation Format
Annotation
Anchor Box
Accuracy
Ablation Study
Zero-Shot Learning
Variance
Variable
Unsupervised Learning
Unstructured Data
Underfitting
Type 1 Errors
True Positive Rate (TPR)
Triplet Loss
Transformer
Transfer Learning
Training Data
Taxonomy
Supervised Learning
Stream-based Selective Sampling
Segment Anything Model (SAM)
Scale Imbalance
Robotic Process Automation (RPA)
RLHF (Reinforcement Learning with Human Feedback)
Reinforcement Learning
Regression
Region-Based CNN
Recall
Random Forest
Query Synthesis Methods
Query Strategy
Preprocessing Algorithm
Precision
Pre-trained Model
Panoptic Segmentation
Overfitting
Outlier Detection
Ontology
One-Shot Learning
Object Tracking
Object Localization
Object Detection
Normalization
Noise
NLP (Natural Language Processing)
NIfTI
Neural Network
Nested Classification
Named Entity Recognition (NER)
Model-Assisted Labeling
Model Validation
Model Parameter
Model Accuracy
Model
MLOps (Machine Learning Operations)
Micro-Model
Metadata
Medical Image Segmentation
Mean Square Error (MSE)
Mean Average Precision (mAP)
Machine Learning
LLM (Large Language Models)
Lifecycle
Learning Rate
Label Error
Label
Knowledge
K-Means Clustering
Keypoints
Intersection over Union (IoU)
Interpolation
Instance Segmentation
Inference
Imbalanced Dataset
Image Segmentation
Image Degradation
Image Annotation
Hyperparameter
Human Pose Estimation
Human-in-the-Loop (HITL)
Ground Truth
Greyscale
GPU (Graphical Processing Unit)
Ghost Frames
Generative Pre-Trained Transformer (GPT)
GAN (Generative Adversarial Network)
Frames Per Second (FPS)
Foundation Model
Fine-tuning
Few-Shot Learning
Feature
Feature Vector
Feature Extraction
False Positive Rate
F1 Score
Epoch
Embedding
Edge Detection
Dynamic and Event-based Classification
DICOM
Deep Learning
Decision Tree
Debug
Dataset
Data Types
Data Quality
Data Operations
Data Error
Data Drift
Data Augmentation
Data Approximation
Convolutional Neural Networks
Confusion Matrix
Concept Drift
Computer Vision Ontology
Computer Vision Model
Computer Vision
COCO
Classification
Class Imbalance
Class Boundary
ChatGPT
Chatbot
Calibration Curve
Bounding Box
Blur
Bias
Bidirectional Encoder Representation from Transformers (BERT)
BERT (Bidirectional Encoder Representation from Transformers)
Backbone
Assets
Artificial Intelligence (AI)
Anomaly Detection
Annotation
Anchor Boxes
Alphapose
AI Labeling
AI Assisted Labeling
AI (Artificial Intelligence)
AGI (Artificial General Intelligence)
Active Learning