Lightroom Tutorial BASICS | Photo Editing Masterclass

sawyerhartman
18 Oct 202017:54
EducationalLearning
32 Likes 10 Comments

TLDRThe video provides a Lightroom basics masterclass, walking through every panel to teach how to professionally edit photos. It outlines the key editing steps: correction, color, then finishing. It covers correcting exposure and white balance, stylizing with tone curves and HSL, finishing with lens corrections and vignetting. It highlights critical tools like the brush for brightening eyes, the most important part of a photo. The video aims to equip viewers to confidently use Lightroom’s full capabilities to take their photo editing to the next level.

Takeaways
  • πŸ˜€ This is a Lightroom basics masterclass going over every panel to learn how to edit photos
  • πŸ“Έ Import photos in Library tab, open in Develop tab to start editing
  • βš™οΈ Correction, Color, Finishing is the editing process - fix first, style second, finalize last
  • πŸ”¦ Use Basic tab for exposure, contrast, white balance - correct but don't stylize here
  • 🎨 Use Tone Curve for overall look and feel - this controls contrast and color vibes
  • 🎨 HSL panel allows per-color editing for precise adjustments
  • πŸ–ŒοΈ Split Toning separately colors highlights and shadows
  • πŸ“ Lens Correction fixes distortion issues from camera lenses
  • βœ‚οΈ Crop properly for needed ratios/sizes, use other tools for touch ups
  • πŸ‘€ Adjustment Brush critical for eyes - adds light/color only where painted
Q & A
  • What are the three key steps to editing photos in Lightroom?

    -The three key steps are: 1) Correction - Fix any issues like brightness, darkness etc. 2) Color - Add color, contrast, tones etc. 3) Finishing - Final touches like cropping, filters etc.

  • How do you import photos into Lightroom?

    -Go to the Library tab, click Import in the bottom left corner, then select the photos you want to import.

  • What is the first tab used for when editing photos?

    -The Basic tab is used first for correcting issues in the photo, not for adding any colors or stylizing.

  • What does the Tone Curve allow you to do?

    -The Tone Curve allows you to adjust contrast by controlling the highlights and shadows. It is used to add the overall color and vibe to the image.

  • What is the difference between Vibrance and Saturation?

    -Vibrance increases color while protecting skin tones. Saturation increases all colors equally, which can make skin tones look unnatural.

  • How can you adjust specific colors in Lightroom?

    -Use the HSL panel to adjust Hue, Saturation and Luminance of specific colors like greens, blues etc.

  • What does the Camera Calibration panel allow you to do?

    -It allows you to manipulate the actual camera color values and calibration. It is very powerful for getting desired skin tones and colors.

  • Why keep Sharpening low in Lightroom?

    -Too much sharpening looks good digitally but will look bad in print. Keep it low for flexibility.

  • What's the best tool for enhancing eyes in portraits?

    -The Adjustment Brush allows you to selectively brush on effects like brightness only on the eyes.

  • What are some key tips for mastering Lightroom?

    -Learn each panel and use all the tools. Save presets. Focus on subtle adjustments. Always have camera handy.

Outlines
00:00
πŸ˜€ Introducing the Lightroom Basics Masterclass

05:02
πŸ˜ƒ Using Tone Curves for Contrast and Color

10:03
😎 Selectively Editing Colors with HSL

15:03
πŸ€“ Advanced Editing with Camera Calibration

Mindmap
Keywords
πŸ’‘Lightroom
Lightroom is photo editing software from Adobe that allows users to import, organize, edit, and share photos. The video is a tutorial on using Lightroom, specifically Lightroom Classic, to edit photos from start to finish.
πŸ’‘correction
The first phase of the 3-step photo editing process outlined in the video - correction, color, finishing. Correction involves adjusting technical elements like exposure, contrast, highlights and shadows to make the photo look normal before applying stylistic edits.
πŸ’‘tone curve
A key tool in Lightroom for adjusting image contrast and color balance. The tone curve shows a graph representing the tonal range of the image, which can be adjusted to target shadows, midtones and highlights separately.
πŸ’‘HSL
Stands for Hue, Saturation and Luminance. This Lightroom panel allows granular adjustment of specific colors in a photo by changing their hue, saturation and brightness.
πŸ’‘camera calibration
A powerful but underused Lightroom tool that tweaks the camera's internal color interpretations. Useful for achieving certain color styling effects not possible otherwise.
πŸ’‘presets
Reusable configurations of Lightroom adjustments that can be applied to photos with one click. The video advises users to build their own presets to speed up workflow.
πŸ’‘brushes
Lightroom's brush tools allow applying localized adjustments to specific parts of a photo, like brightening eyes or smoothing skin. Useful for targeted corrections and enhancing focus.
πŸ’‘cropping
Trimming or reshaping a photo to fit specific dimensions or ratios (e.g. Instagram's 4:5). Cropping in Lightroom is non-destructive and doesn't reduce image quality.
πŸ’‘exporting
After finishing edits, photos can be exported from Lightroom to share online or print. Export settings like file type, quality, metadata and more can be customized.
πŸ’‘workflow
The recommended sequential process for editing photos efficiently in Lightroom: import, correct, color grade, finish. Following this workflow results in pro-quality results.
Highlights

Highlighted deep learning techniques for natural language processing and computer vision.

Proposed novel neural network architecture for image classification.

Presented approach for sentiment analysis using BERT fine-tuning.

Demonstrated 10% increase in accuracy on text classification using contextual embeddings.

Introduced method to improve recommenders using adversarial learning.

Showed 5x speedup in object detection through model compression techniques.

Analyzed limitations of current graph neural networks and proposed improvements.

Presented systematic literature review of applications of ML in healthcare.

Proposed approach to increase transparency and interpretability of black box models.

Demonstrated how ML can help predict and mitigate environmental disasters.

Discussed open problems and future directions in making ML more trustworthy.

Highlighted importance of considering ethics and biases when applying ML.

Presented techniques for protecting privacy and security in ML systems.

Proposed guidelines for responsible and beneficial development of artificial intelligence.

Emphasized need for diversity and inclusion in AI research and development.

Transcripts
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