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dataset_creation
dataset_creation
 
 
image_captioning
image_captioning
 
 
image_classification
image_classification
 
 
images
images
 
 
object_detection
object_detection
 
 
samples
samples
 
 
scripts
scripts
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
Filter Labels.ipynb
Filter Labels.ipynb
 
 
README.md
README.md
 
 
annotations_sample_images
annotations_sample_images
 
 
classification_alexnet.ipynb
classification_alexnet.ipynb
 
 
classification_alexnet_script
classification_alexnet_script
 
 
classification_annotation_results.json
classification_annotation_results.json
 
 
classification_correction_results.json
classification_correction_results.json
 
 
classification_verification_results.json
classification_verification_results.json
 
 
classification_visualization.ipynb
classification_visualization.ipynb
 
 
classify dataset.ipynb
classify dataset.ipynb
 
 
create dataset.ipynb
create dataset.ipynb
 
 
data_download_script
data_download_script
 
 
detect.py
detect.py
 
 
detection_annotation_results.json
detection_annotation_results.json
 
 
detection_correction_results.json
detection_correction_results.json
 
 
detection_results.json
detection_results.json
 
 
final_image_paths.txt
final_image_paths.txt
 
 
ground truth data.ipynb
ground truth data.ipynb
 
 
ground_truth.json
ground_truth.json
 
 
ground_truth.txt
ground_truth.txt
 
 
ground_truth_categories.json
ground_truth_categories.json
 
 
misc images stuff.ipynb
misc images stuff.ipynb
 
 
resnet detection final.ipynb
resnet detection final.ipynb
 
 
sample_detections.txt
sample_detections.txt
 
 
selective_search_ijcv_with_python.zip
selective_search_ijcv_with_python.zip
 
 
wordnet stuff.ipynb
wordnet stuff.ipynb
 
 

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CrowdSourcing-Project

following 10 categories will be used from MS COCO dataset - person, car, cat, dog, horse, airplane, bus, train, couch, bird

data is downloaded. A sample of 10 images of each of above categories along with their annotations will be uploaded.

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