Files

.github
_static
_templates
advanced_functionality
async-inference
autopilot
aws_marketplace
aws_sagemaker_studio
boto3
code_snippets
contrib
end_to_end
frameworks
ground_truth_labeling_jobs
hyperparameter_tuning
inference
ingest_data
introduction_to_amazon_algorithms
- autogluon_tabular
- blazingtext_hosting_pretrained_fasttext
- blazingtext_text_classification_dbpedia
- blazingtext_word2vec_subwords_text8
- blazingtext_word2vec_text8
- deepar_electricity
- deepar_synthetic
- factorization_machines_mnist
- forecasting_services_comparison
- image_classification_tensorflow
- imageclassification_caltech
- imageclassification_mscoco_multi_label
- ipinsights_login
- jumpstart-foundation-models
- jumpstart_alexatm20b
- jumpstart_image_classification
- jumpstart_image_embedding
- jumpstart_instance_segmentation
- jumpstart_machine_translation
- jumpstart_named_entity_recognition
- jumpstart_object_detection
  - Amazon_JumpStart_Object_Detection.ipynb
- jumpstart_question_answering
- jumpstart_regression_free_training
- jumpstart_semantic_segmentation
- jumpstart_sentence_pair_classification
- jumpstart_text_classification
- jumpstart_text_embedding
- jumpstart_text_generation
- jumpstart_text_summarization
- jumpstart_text_to_image
- jumpstart_upscaling
- k_nearest_neighbors_covtype
- lda_topic_modeling
- lightgbm_catboost_tabular
- linear_learner_abalone
- linear_learner_mnist
- ntm_synthetic
- object2vec_movie_recommendation
- object2vec_sentence_similarity
- object_detection_birds
- object_detection_pascalvoc_coco
- object_detection_tensorflow
- pca_mnist
- random_cut_forest
- semantic_segmentation_pascalvoc
- seq2seq_translation_en-de
- tabtransformer_tabular
- text_classification_huggingface
- xgboost_abalone
- xgboost_linear_learner_tabular
- xgboost_mnist
- README.md
- index.rst
introduction_to_applying_machine_learning
label_data
licenses
ml-lifecycle
model-governance
multi-model-endpoints
patterns
prep_data
r_examples
reinforcement_learning
sagemaker-clarify
sagemaker-datawrangler
sagemaker-debugger
sagemaker-experiments
sagemaker-featurestore
sagemaker-fundamentals
sagemaker-geospatial
sagemaker-inference-deployment-guardrails
sagemaker-inference-recommender
sagemaker-jumpstart
sagemaker-lineage
sagemaker-notebook-jobs
sagemaker-pipeline-compare-model-versions
sagemaker-pipeline-multi-model
sagemaker-pipeline-parameterization
sagemaker-pipelines
sagemaker-python-sdk
sagemaker-script-mode
sagemaker-shadow-variant
sagemaker-spark
sagemaker-training-compiler
sagemaker-triton
sagemaker_batch_transform
sagemaker_edge_manager
sagemaker_endpoints
sagemaker_model_governance
sagemaker_model_monitor
sagemaker_neo_compilation_jobs
sagemaker_processing
scientific_details_of_algorithms
serverless-inference
step-functions-data-science-sdk
synthetic_data
training
use-cases
utils
.gitignore
.readthedocs.yml
CONTRIBUTING.md
LICENSE.txt
Makefile
NOTICE
README.md
conf.py
config.json
environment.yml
index.rst
intro.rst
make.bat
tox.ini

jumpstart_object_detection

GiannisMitr

and

Giannis Mitropoulos

Adapted Jumpstart notebooks that support re-training to use AMT to se… (

Apr 29, 2022

ddb08d4 · Apr 29, 2022

History

This branch is 6 commits ahead of, 543 commits behind aws/amazon-sagemaker-examples:default.

Name	Name	Last commit message	Last commit date
parent directory ..
Amazon_JumpStart_Object_Detection.ipynb	Amazon_JumpStart_Object_Detection.ipynb	Adapted Jumpstart notebooks that support re-training to use AMT to se… (	Apr 29, 2022

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Files

jumpstart_object_detection

jumpstart_object_detection

Files

jumpstart_object_detection

Directory actions

More options

Directory actions

More options

Latest commit

History

jumpstart_object_detection

Folders and files

parent directory