PixoateCount watermelons from a photo
Spread the watermelons so they overlap as little as possible — one layer deep is ideal — and photograph from above in even light. Built for farms, packhouses and produce wholesalers — add each photo to the tally sheet and export the whole count as a CSV or PDF report.
- Counts watermelons even when they touch or overlap
- Mark 1–3 example watermelons to count exactly that item
- 免费 · 无需注册 · 文件自动删除
支持 JPG、PNG、WEBP · 免费版最大 5 MB，高级版 50 MB
上传图片
精准计数的小贴士
• Use an even, well-lit photo with the watermelons fully in frame
• Mark 1–3 example watermelons when other items share the photo
• Dots and heatmap show what was counted — verify at a glance
About the Watermelons Counter
The watermelons counter uses an AI similar-item engine built for dense scenes where watermelons touch or overlap — the case where counting by hand is slow and error-prone. Mark one to three example watermelons and it counts exactly that item, marking every counted one on the image so you can verify the total. Built for farms, packhouses and produce wholesalers.
工作原理
1. Photograph your watermelons
2. AI counts them — optionally mark 1–3 example watermelons
3. 通过图像上的圆点和热力图进行核对
4. 添加到统计表，并将计数结果导出为 CSV
适用场景
• Harvest tallies of watermelons straight from the field
• Packhouse crate and dispatch verification
• Wholesale market stock counts
• Theft, loss and shrinkage spot checks
常见问题
- Does it work on a loose pile?
- It counts every item it can see, so a pile counts its visible layer. For an exact total, spread the items one layer deep; for estimates on big piles, count the visible face consistently between checks so the numbers stay comparable.
- What if the photo has more than just watermelons in it?
- Mark 1–3 example watermelons by dragging a box around them and the AI counts exactly that item, ignoring everything else in the frame. Every counted item gets a dot on the image so you can verify the total at a glance.
- 我可以把好几张照片合计成一个总数吗？
- Yes — every count can be added to the tally sheet as a labelled row, or use Bulk audit to upload many photos at once. Export the result as a CSV, generate a PDF report, or save the stock-take to your account and share a read-only link with your team.
- 免费吗？是否私密？
- Yes — counting photos is free with no signup for everyday use. Photos are uploaded only to process and are deleted automatically afterwards; we never keep or share them.
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Real problems it solves every day — for businesses, creators, and everyday tasks. Find the use case that fits you and start in seconds.
Harvest Day Yield Tracking
Photograph each picked crate as it comes off the field and use Bulk audit to count the whole day's harvest in one pass, giving a running grand total you can compare against last season's yield.
Farmers' Market & Roadside Stall Stock
Count trays before setting up your stall and again at close, using Similar items mode on a single fruit type to see exactly how many units sold without weighing or manual tallying.
Orchard Sampling for Yield Estimates
Photograph a well-lit section of canopy and let the AI count visible fruit as a sampling method, using the Detection sensitivity slider to tune for partially hidden fruit when estimating a full orchard's yield.
Packhouse Grading & Crate Verification
Verify each crate hits its target count before it's sealed for dispatch by marking one example fruit and running Similar items mode, catching under-filled or over-filled crates before they leave the packhouse.
Wholesale Delivery Proof-of-Count
Keep the AI-marked, dotted photo from each delivery count as visual proof of quantity delivered, useful for resolving disputes with wholesale buyers over short deliveries.
Home Garden Harvest Counting
Photograph a basket of home-grown tomatoes, apples or berries at pick time to get an exact harvest count for the season, without any commercial packhouse workflow — just Similar items mode and a quick tally row per picking.