google/automl

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

6474 stars · 1464 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Google Brain's AutoML repository containing implementations of AutoML models and libraries such as EfficientNet, EfficientNetV2, and EfficientDet. It provides reference code for state-of-the-art image classification and object detection architectures.

Use cases

• train image classification models with efficientnet
• run object detection with efficientdet
• implement efficientnetv2 in my project
• reproduce google brain automl research models
• fine-tune pretrained efficientnet checkpoints

When to choose

• you need reference implementations of EfficientNet/EfficientDet family models
• you want pretrained checkpoints for image classification or detection
• you're doing computer vision research based on Google Brain AutoML work

When to avoid

• you need a general-purpose AutoML platform with automated hyperparameter search
• you work outside Python/TensorFlow ecosystems
• you need production serving infrastructure rather than model code

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision machine-learning computer-vision deep-learning artificial-intelligence python cross-platform automl efficientnet efficientdet object-detection image-classification google-brain tensorflow gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google/automl")