consumer goods & FMCG · delivered

CocoDag — annotation tool

The tool that turns raw field imagery into labelled training data.

bounding-box annotation
labelled training data at scale

The challenge

Images from the coconut capture app needed bounding-box labels to train the yield-prediction pipeline — and there was no dedicated tagging tool.

What we built

CocoDag, an annotation tool wired directly to the capture app: images flow in, taggers draw bounding boxes around coconuts, labelled data flows out to the ML pipeline.

The outcome

Labelled training data produced at scale, feeding the yield-prediction models continuously.

WANT ONE LIKE THIS?

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FAQ

Questions we get asked about this build

What did Finzarc build for this client?

Finzarc built CocoDag, an annotation tool wired directly to the coconut capture app — images flow in, taggers draw bounding boxes around coconuts, labelled data flows out to the ML pipeline.

What problem did it solve?

Field images needed bounding-box labels to train the yield-prediction pipeline, and there was no dedicated tagging tool. Finzarc built one.

What did it deliver?

Labelled training data produced at scale, feeding the yield-prediction models continuously.

Can Finzarc build custom annotation tooling for us?

Yes. Bring the problem, leave with a scope — book a call at /book.

Finzarc is an India-based AI & data-engineering studio — production automations, analytics and custom apps for enterprises, first delivery in about three weeks. This is delivered work for consumer goods & FMCG: see how Finzarc ships in about three weeks, or bring the problem and leave with a scope. Working software > promises of future.