- \n
- Tailored augmentation<\/a><\/strong>. Automatically customize your augmentations to specific images using Cloudinary’s object detection and intuitive AI-detected image characteristics.<\/li>\n<\/ul>\n\n\n\n
- \n
- Generative AI<\/a><\/strong>. Empowering beyond convention with object removal, outpainting, and replacement. These unparalleled capabilities empower more effective machine learning.<\/li>\n<\/ul>\n\n\n\n
All supported by Cloudinary\u2019s infrastructure. Offload images for large-scale training, preventing slow processing or failure, regardless of dataset size.<\/p>\n\n\n\n
Training Made Effortless<\/h2>\n\n\n\n
Here\u2019s what you need to do to use Cloudinary for augmenting your datasets: <\/p>\n\n\n\n
- \n
- Sign up for a Cloudinary<\/a> account.<\/li>\n<\/ul>\n\n\n\n
- \n
- Install the Cloudinary Python library using
pip install cloudinary<\/code>.<\/li>\n<\/ul>\n\n\n\n- \n
- Find your credentials in your Dashboard<\/a>.<\/li>\n<\/ul>\n\n\n\n
- \n
- Follow along with our sample Jupyter Notebook<\/a>.<\/li>\n<\/ul>\n\n\n\n
OR<\/p>\n\n\n\n
- \n
- Use your own images in your Python environment:\n
- \n
- Configure Cloudinary in your
settings.py<\/code> with your credentials, ensuring they remain secure, then loop through your dataset and upload the images using the upload<\/a> method of the Upload API. Save the public IDs (unique identifier for the image in Cloudinary) and delivery URLs from the responses in an array.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n# Configure Cloudinary in your settings.py with your credentials, ensuring they remain secure.<\/span>\n# settings.py<\/span>\nimport cloudinary\nimport cloudinary.uploader\nimport cloudinary.api\nfrom cloudinary.utils import cloudinary_url\nimport cloudinary.api\t\ncloudinary.config( \n \tcloud_name = \"your_cloud_name\"<\/span>,\n \tapi_key = \"your_api_key\"<\/span>,\n \tapi_secret = \"your_api_secret\"<\/span>\n)\n\n# The upload statement for a single media asset.<\/span>\nresponse = cloudinary.uploader.upload(file, use_filename=true<\/span>)\nimages.append({'pubicId'<\/span>: response.public_id,'url'<\/span>: response.secure_url})<\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\nNote:<\/strong>Replace
your_cloud_name<\/code>,your_api_key<\/code>, andyour_api_secret<\/code> with your actual Cloudinary credentials, which you can find in your Cloudinary Dashboard.<\/p>\n<\/div>\n\nWhen writing your own applications, follow your organization’s policy on storing secrets and don’t expose your API secret.<\/strong> <\/div>\n\n\nTailored Augmentation? Piece of Cake!<\/h2>\n\n\n\n
Remember when we talked about tailored enhancements for specific images? Here’s an example. Let’s say you’re aiming to augment only images with faces \u2014 a task made easy with Cloudinary’s object detection. Tailored augmentation becomes a straightforward process, enhancing images based on their distinct features.<\/p>\n\n\n
# Code snippet for object detection-based augmentation <\/span>\ndetails = cloudinary.api.resource(\"<public_id>\"<\/span>, faces=True<\/span>)\nfacecount = len(details['faces'<\/span>])\n\nif<\/span> facecount > 0<\/span>:\n flipped_url, options = cloudinary.utils.cloudinary_url(\"<public_id>\"<\/span>, transformation=[\n {'angle'<\/span>: 'hflip'<\/span>}\n ])\n # Use 'flipped_url' for further processing or operations<\/span>\n<\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\nYou\u2019re not limited to face detection. Cloudinary’s powerful image analysis and object detection capabilities allow you to choose which images to augment based on a wide variety of characteristics. For more information, see Coudinary AI Content Analysis<\/a>.<\/p>\n\n\n\n
\n ![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_683,h_1024,c_scale\/f_auto,q_auto\/v1701695913\/Web_Assets\/blog\/surprise-1\/surprise-1.jpg?_i=AA\")
Original Image
https:\/\/res.cloudinary.com\/demo\/image\/upload\/surprise.jpg<\/a><\/figcaption><\/figure>\n\n\n\n![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_683,h_1024,c_scale\/f_auto,q_auto\/v1701695916\/Web_Assets\/blog\/surprise\/surprise.jpeg?_i=AA\")
Flipped Image
http:\/\/res.cloudinary.com\/demo\/image\/upload\/a_hflip\/surprise<\/a>.jpg<\/figcaption><\/figure>\n<\/figure>\n\n\n\nGenerative AI Awesomeness<\/h2>\n\n\n\n
Object Removal<\/h3>\n\n\n\n
Cloudinary effectively removes and replaces unwanted elements in images, generating new training samples. This process enhances the model’s adaptability in interpreting scenes. For instance, removing obstructing parked cars from street scene images refines the model’s understanding of diverse real-world scenarios.<\/p>\n\n\n\n
You can specify one or more objects that you want to remove:<\/p>\n\n\n
python\n# Code snippet for object removal <\/span>\nobject_removed_url, options = cloudinary.utils.cloudinary_url(\"<public_id>\"<\/span>, transformation=[\n {'effect'<\/span>: 'remove:prompt:parked_car'<\/span>, 'multiple'<\/span>: True<\/span>}\n])\n# Use 'object_removed_url' for further processing or operations<\/span>\n<\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\n\n ![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_1000,h_667,c_scale\/f_auto,q_auto\/v1701700989\/Web_Assets\/blog\/road_scene\/road_scene.jpeg?_i=AA\")
Original Image
https:\/\/res.cloudinary.com\/demo\/image\/upload\/road_scene.jpg<\/a><\/figcaption><\/figure>\n\n\n\n![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_1000,h_667,c_scale\/f_auto,q_auto\/v1701700986\/Web_Assets\/blog\/road_scene-1\/road_scene-1.jpeg?_i=AA\")
Object Removed:
http:\/\/res.cloudinary.com\/demo\/image\/upload\/e_gen_remove:prompt_parked_car;remove-shadow_true\/road_scene<\/a><\/figcaption><\/figure>\n<\/figure>\n\n\n\nOutpainting<\/h3>\n\n\n\n
Outpainting, a technique powered by Cloudinary, broadens an image’s perspective. It extends the canvas around focused objects, like birds, enhancing the model’s accuracy in detecting them amidst varied backgrounds.<\/p>\n\n\n
python\n# Code snippet for generative fill <\/span>\noutpaint_url, options = cloudinary.utils.cloudinary_url(\"docs\/bird.jpg\"<\/span>, \n transformation=[\n {'aspect_ratio'<\/span>: \"16:9\"<\/span>, 'background'<\/span>: \"gen_fill\"<\/span>, 'width'<\/span>: 1500<\/span>, 'crop'<\/span>: \"pad\"<\/span>}\n ]\n)\n# Use 'outpaint_url' for further processing or operations<\/span>\n<\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\n\n ![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_465,h_279,c_scale\/f_auto,q_auto\/v1701700984\/Web_Assets\/blog\/bird\/bird.jpeg?_i=AA\")
Original Image
https:\/\/res.cloudinary.com\/demo\/image\/upload\/bird.jpg<\/a><\/figcaption><\/figure>\n\n\n\n![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_768,h_1024,c_scale\/f_auto,q_auto\/v1701700980\/Web_Assets\/blog\/bird-1\/bird-1.jpeg?_i=AA\")
Outpainted
http:\/\/res.cloudinary.com\/demo\/image\/upload\/ar_9:12,b_gen_fill,c_pad,w_1500\/bird<\/a><\/figcaption><\/figure>\n<\/figure>\n\n\n\nSample Code Snippets<\/h2>\n\n\n\n
These code snippets demonstrate Cloudinary’s transformation capabilities for various basic augmentations, from adjusting lighting to applying blur\/sharpen effects and rotating images at different angles.<\/p>\n\n\n\n
Replace
<public_id><\/code> with the public ID of your image. <\/p>\n\n\n\nAdjusting Lighting<\/h3>\n\n\n
# Adjust the lighting to evening <\/span>\nevening_url, options = cloudinary.utils.cloudinary_url('<public_id>'<\/span>, transformation=[\n {'effect'<\/span>: \"art:frost\"<\/span>}\n])\n# Use 'evening_url' for further processing or operations<\/span>\n\n# Adjust lighting to morning<\/span>\nmorning_url, options = cloudinary.utils.cloudinary_url('<public_id>'<\/span>, transformation=[\n {'effect'<\/span>: \"art:sizzle\"<\/span>}\n])\n# Use 'morning_url' for further processing or operations<\/span>\n<\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\n\n ![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_1024,h_618,c_scale\/f_auto,q_auto\/v1701712550\/Web_Assets\/blog\/indoor_scene10\/indoor_scene10.jpeg?_i=AA\")
Original Image
https:\/\/res.cloudinary.com\/demo\/image\/upload\/indoor_scene.jpg<\/a><\/figcaption><\/figure>\n\n\n\n![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_1024,h_618,c_scale\/f_auto,q_auto\/v1701706292\/Web_Assets\/blog\/indoor_scene-1\/indoor_scene-1.jpeg?_i=AA\")
Evening Light
http:\/\/res.cloudinary.com\/demo\/image\/upload\/e_art:frost\/indoor_scene<\/a><\/figcaption><\/figure>\n\n\n\n![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_1024,h_618,c_scale\/f_auto,q_auto\/v1701706296\/Web_Assets\/blog\/indoor_scene-2\/indoor_scene-2.jpeg?_i=AA\")
Morning Light
http:\/\/res.cloudinary.com\/demo\/image\/upload\/e_art:sizzle\/indoor_scene<\/a><\/figcaption><\/figure>\n<\/figure>\n\n\n\nApplying Blur and Sharpen Effects<\/h3>\n\n\n
# Blur<\/span>\nblurred_url, options = cloudinary.utils.cloudinary_url('<public_id>'<\/span>, transformation=[\n {'effect'<\/span>: 'blur:300'<\/span>}\n])\n# Use 'blurred_url' for further processing or operations<\/span>\n\n\n#Sharpen<\/span>\nblurred_url, options = cloudinary.utils.cloudinary_url('<public_id>'<\/span>, transformation=[\n {'effect'<\/span>: 'sharpen:100'<\/span>}\n])\n# Use 'blurred_url' for further processing or operations<\/span>\n<\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\n\n ![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_1024,h_618,c_scale\/f_auto,q_auto\/v1701706284\/Web_Assets\/blog\/indoor_scene-3\/indoor_scene-3.jpeg?_i=AA\")
Blur Effect
http:\/\/res.cloudinary.com\/demo\/image\/upload\/e_blur:500\/indoor_scene<\/a><\/figcaption><\/figure>\n\n\n\n![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_1024,h_618,c_scale\/f_auto,q_auto\/v1701706279\/Web_Assets\/blog\/indoor_scene-4\/indoor_scene-4.jpeg?_i=AA\")
Sharpen Effect
http:\/\/res.cloudinary.com\/demo\/image\/upload\/e_sharpen:100\/indoor_scene<\/a><\/figcaption><\/figure>\n<\/figure>\n\n\n\nRotating Images at Different Angles<\/h3>\n\n\n
# Rotate<\/span>\nrotated_url, options = cloudinary.utils.cloudinary_url('<public_id>'<\/span>, transformation=[\n {'angle'<\/span>: 20<\/span>}\n])\n# Use 'rotated_url' for further processing or operations<\/span>\n<\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\n![\"\"](\"https:\/\/res.cloudinary.com\/cloudinary-marketing\/images\/w_773,h_1024,c_scale\/f_auto,q_auto\/v1701706276\/Web_Assets\/blog\/surprise-1_319778b90b\/surprise-1_319778b90b.jpeg?_i=AA\")
Rotated Image
http:\/\/res.cloudinary.com\/demo\/image\/upload\/a_10\/surprise<\/a><\/figcaption><\/figure>\n\n\n\nInvigorate Your Image Augmentation Process<\/h2>\n\n\n\n
Image augmentation is essential for training robust computer vision models, enabling them to learn from a rich tapestry of image variations. With Cloudinary’s<\/a> Python SDK, equipped with powerful infrastructure, cutting-edge AI techniques and the ability to handle images at an immense scale, training becomes streamlined, empowering models to grasp the intricacies of complex images. <\/p>\n\n\n\n
Ready to elevate your machine learning capabilities? Explore large-scale augmentation techniques in Python and revolutionize your model training today.<\/p>\n\n\n\n
If you found this article helpful and want to discuss it in more detail, head over to Cloudinary Community<\/a> forum and its associated Discord<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"
Images serve as crucial data for machine learning (ML) models, much like versatile tools in a craftsman’s kit. Yet, they often require tailored enhancements to meet the many demands of applications. Enter image augmentation \u2014 the process that equips these models with adaptability and resilience across diverse scenarios. Augmentation broadens the model’s learning spectrum. Consider […]<\/p>\n","protected":false},"author":52,"featured_media":32119,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_cloudinary_featured_overwrite":false,"footnotes":""},"categories":[1],"tags":[409,370],"class_list":["post-31960","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-generative-ai","tag-image"],"acf":[],"yoast_head":"\n
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- Configure Cloudinary in your
- Use your own images in your Python environment:\n
- Follow along with our sample Jupyter Notebook<\/a>.<\/li>\n<\/ul>\n\n\n\n
- Find your credentials in your Dashboard<\/a>.<\/li>\n<\/ul>\n\n\n\n
- Install the Cloudinary Python library using
- Sign up for a Cloudinary<\/a> account.<\/li>\n<\/ul>\n\n\n\n
- Generative AI<\/a><\/strong>. Empowering beyond convention with object removal, outpainting, and replacement. These unparalleled capabilities empower more effective machine learning.<\/li>\n<\/ul>\n\n\n\n