Darasa Hub - Learning Lions
Dira Portal Safety and Welfare ICT Support
MD2.5

Colour Correction

Level 2 · BootCampMD2 Fast-Turnaround ProductionTaught week 3 Thursday morning

Start the Lesson

By the end you can read a histogram aloud, where the light lives, what is clipped and at which wall, what the photo needs first; correct a photo in one fixed order, white balance with the neutral picker, levels, a gentle curve, saturation last and least, each on its own named layer; write a note a client could read, wrong, did, why, with the histogram as the evidence; run an auto-correct as a rival draft and beat it by hand; direct an AI critic with evidence and verify every suggestion on the instrument; and export a before-and-after pair under one stem with the XCF beside it.

Start the lesson 57 moves in 9 parts. You need: GIMP, with the Histogram and Layers docks showing · the fault pack in your MD folder, from the share path your coach names or the stick at your table · the shared photo your coach names · your notebook and a pencil · your phone and its cable · your AI tool open in the browser, for the critic

Submit Your Work

What You Turn In

  1. Five before-and-after pairs
    1. Exported JPEGs named as pairs under FS4's rule, the XCF kept beside them; every correction on its own named layer with levels and curves; whites white; nothing clipped on purpose
  2. Five notes: wrong · did · why
    1. Histogram evidence in every why; a step not taken is named ('saturation: none needed'); a correction you backed off carries its line
  3. Your receipts
    1. One auto run as a rival draft with its fault named on the histogram and beaten by hand; one AI critique: your spec with evidence, what it said, where you pushed back, how you verified it; the label where the critic changed a correction
  4. Your daily post
    1. The Clip of the Day to the track channel, checked on a phone; the log line: what, where, when
  5. Clip of the Day: The Rescue fill in on the hub
    1. 15 to 20 seconds, upright 9:16, exported at 720p as an MP4 under 30 MB (megabytes) and saved in your own Mufasa folder; three pairs, each after revealed by a wipe; captions naming the real fix; no filter on top; your name and the label on the end card; the Google Drive share link (viewer) and your AI receipt in Asha, never the video itself

Stuck, or want to check your thinking? Paste this card into your own AI and ask it to question you, not answer for you.

How

  1. Asha, by Saturday's update.
Done when
  1. Five before-and-after pairs: Corrections on named layers with levels and curves; whites white; no destructive clipping; honest saturation
  2. Five notes: Wrong · did · why with histogram evidence; steps not taken named
  3. Receipts: auto + critic: Auto's fault named on the instrument and beaten by hand; critique specced with evidence, pushed back, verified
  4. Daily post: The Clip of the Day posted, phone-checked, logged
  5. Clip of the Day: The Rescue: 3 as 2, plus: the strongest rescue comes first; whites stay white on a phone; the order defended in the receipt. · 2 15–20 s; upright 9:16, 720p MP4 under 30 MB; captions burned in inside the safe area; end card with the name and the label; AI receipt filed; three pairs, the wipe reveals each after, captions name the real fix, colours unchanged from the JPEG pairs. · 1 not 9:16 or outside 15–60 s, a look added on top of the correction, a caption that names a fix not made, or no receipt.

Counts toward: the MD2.5 badge, 1 to 3 stars · attendance for the Taught and SGL blocks · LP (Lion Points) for accepted badge work.

Fill in the worksheet Submit work for MD2.5