◉GEMINI LABJP
●ROBOTICS — The ER 1.6 preview that shut down on August 31 does have a successor. Gemini Robotics ER 2 is in public preview, in both standard and streaming variants●VIDEO — ER 2 judges success and failure from live video rather than still snapshots, which is what lets it catch spills, slips, and misalignments while a task is still running●DEADLINE — Next up is September 30, when gemini-omni-flash-preview is retired. The target is gemini-omni-1.1-flash, GA since August 27, and there are now under four weeks left●APIKEY — Every remaining standard API key, restricted ones included, stops working during September. The replacement is an auth key bound to a Google Cloud service account●PRICE — Gemini 3.7 Flash keeps its introductory $0.75/$3.75 per 1M through December 31, then moves to $1.50/$7.50 on January 1, 2027. Any estimate crossing the year needs both figures●AUDIO — Gemini 3.5 Transcribe handles language detection across 85+ languages, speaker diarization, word-level timestamps, and custom vocabulary biasing of up to 1,000 terms●ROBOTICS — The ER 1.6 preview that shut down on August 31 does have a successor. Gemini Robotics ER 2 is in public preview, in both standard and streaming variants●VIDEO — ER 2 judges success and failure from live video rather than still snapshots, which is what lets it catch spills, slips, and misalignments while a task is still running●DEADLINE — Next up is September 30, when gemini-omni-flash-preview is retired. The target is gemini-omni-1.1-flash, GA since August 27, and there are now under four weeks left●APIKEY — Every remaining standard API key, restricted ones included, stops working during September. The replacement is an auth key bound to a Google Cloud service account●PRICE — Gemini 3.7 Flash keeps its introductory $0.75/$3.75 per 1M through December 31, then moves to $1.50/$7.50 on January 1, 2027. Any estimate crossing the year needs both figures●AUDIO — Gemini 3.5 Transcribe handles language detection across 85+ languages, speaker diarization, word-level timestamps, and custom vocabulary biasing of up to 1,000 terms
TAG

Image Classification

3 articles
← Back to all tags
Related:
Gemini API3gemini-embedding-22Indie Development2Cost Optimization2Structured Output1Taxonomy1Vision API1Wallpaper App1Batch Processing1Indie Dev1
⬡ Gemini Advanced/2026-07-15Advanced

A near-miss label won't fix itself on retry — a normalization layer for closed-vocabulary classification

When responseSchema enum returns an out-of-set label, retrying tends to return the same near-miss. From a wallpaper app's 30-category batch, here is the distribution of how labels miss, plus a normalization layer built on an alias table and gemini-embedding-2 nearest-neighbor, with measured results.

⬡ Gemini Advanced/2026-07-10Advanced

The Day We Went From 30 Categories to 34 — Reclassifying 1,180 Assets Instead of 8,142

Adding categories to a taxonomy does not require reclassifying everything. Here is how embeddings and confidence margins narrowed a backfill from 8,142 assets to 1,180, with the numbers.

◈ Gemini API/2026-05-03Intermediate

Auto-Categorizing 3,000 Wallpaper Images With Gemini Vision API — A Real Production Account

Manually categorizing thousands of wallpaper images doesn't scale. This is a hands-on account of building an auto-classification pipeline with Gemini Vision API — covering design, implementation, actual cost, and the failure patterns I hit running 3,000 images through it.