Industries · 6 min read
Why the PlantDoc dataset is not your field, and what it is good for
A public leaf disease set is a photo of somebody else's field, lab backgrounds and box errors included. Use it as a baseline, then label the grower's frames.
Sheikh Srijon · Sep 30, 2026
Industries · 7 min read
Tomato leaf disease detection from the greenhouse camera and the scout's phone
Blight, mould, spot and mite damage beside a healthy baseline, look-alike diseases merged rather than guessed, and a new season's light as what gets relabeled.
Sheikh Srijon · Sep 30, 2026
Labeling · 6 min read
COCO as a format you will use and a benchmark you should not trust
COCO JSON is the file a bottling line's labels travel in. The COCO benchmark is a score on somebody else's eighty classes, and none of them is a missing cap.
Sheikh Srijon · Sep 29, 2026
Industries · 6 min read
CPG inventory cataloging with computer vision, every package named without a model per SKU
One detector boxes every package in the shelf photo, a question per crop reads brand, variety and size, and a new pack design is a spec change the queue shows.
Sheikh Srijon · Sep 29, 2026
Labeling · 6 min read
What a model trained on ten frames is good for
Ten labeled frames from a new site camera give a first pass by the end of the afternoon. Trust it for the obvious, and let its doubts grow the set.
Sheikh Srijon · Sep 29, 2026
Labeling · 7 min read
Choosing an annotation tool for a month of inspection footage
The demo set labels itself in an afternoon. A month of drone footage is where the tool has to propose boxes, take corrections and review every label.
Sheikh Srijon · Sep 29, 2026
Industries · 6 min read
Retail shelf item detection, a hundred products in one frame
A wide aisle camera sees a hundred boxes per frame, most of them identical neighbours. The rule is a tight box per facing, and the rare SKU stays in on purpose.
Sheikh Srijon · Sep 29, 2026
Labeling · 6 min read
Which words find the forklift, measured instead of guessed
Five ways to say forklift, five sets of boxes on aisle 6. Score each phrase on a small labeled set before Lexi labels the whole archive with the winner.
Sheikh Srijon · Sep 28, 2026
Labeling · 6 min read
How much training data a computer vision model needs from your own cameras
A weld defect detector got useful on a few hundred chosen frames. A sixty-class shelf model needed far more. The difference is the task and the variation.
Sheikh Srijon · Sep 28, 2026
Labeling · 6 min read
Image annotation for robotics, when the robot will act on the label
In a bin-picking cell a box ten pixels loose is a missed grasp. Occlusion, blur, pose and the QA pass, written for the labels a gripper depends on.
Sheikh Srijon · Sep 28, 2026
Labeling · 6 min read
Labeling outdoor surveillance footage, the person forty pixels tall on the perimeter camera
Tight boxes on distant people and vehicles, occlusion labeled instead of skipped, classes the intrusion rule can use, and the rain and night frames kept in.
Sheikh Srijon · Sep 28, 2026
Labeling · 6 min read
Promptable object detection, type the thing you want and get boxes back
Type forklift and the yard camera's frames come back boxed in seconds. The pallet jack and the distant hard hat are where the prompt stops and labeling starts.
Sheikh Srijon · Sep 28, 2026
Computer vision · 7 min read
What an image embedding is and what it lets you find
A frame becomes a list of numbers where similar scenes sit close together. That finds the duplicates, the rare scene, and the night shift missing from your set.
Sheikh Srijon · Sep 28, 2026
Operations · 8 min read
Collecting image training data from a production line without keeping every frame
A carton line's model starts missing a new print. Sample the frames it doubts, drop near-duplicates, review them, and let corrections train the next version.
Sheikh Srijon · Sep 27, 2026
Operations · 7 min read
Writing a computer vision problem statement before anyone labels a frame
The request said count the items on the shelf. The classes, the geometry, the action and the target were still missing, and each one changes what gets labeled.
Sheikh Srijon · Sep 27, 2026
Industries · 7 min read
Computer vision inventory monitoring from a frame every few minutes
A shelf camera sampled every few minutes, each facing boxed and counted, a record per detection, and an alert when a facing stays empty past the hour.
Sheikh Srijon · Sep 26, 2026
Industries · 6 min read
Instance segmentation for robotic manipulation from twenty-five labeled frames
A first small batch, the camera angle and the label scheme checked before anything scales, and masks the robot can close a gripper on.
Sheikh Srijon · Sep 26, 2026
Industries · 6 min read
Paint defect detection after the booth, with object detection tied to the process cause
Orange peel, runs, dirt and solvent pop as classes, each tied to what the booth would change, so the alert says what to fix. A tighter standard is a relabel.
Sheikh Srijon · Sep 26, 2026
Industries · 6 min read
Vehicle damage localization with instance segmentation, so the estimate names the panel and the area on it
One mask for the dent and one for the panel it sits on, from the claimant's own phone photos, so the estimate says bumper and how much of it.
Sheikh Srijon · Sep 26, 2026
Industries · 6 min read
Computer vision inventory management with a camera over the stockroom shelf
Stacks counted on sampled frames without a scan, discrepancies flagged against the ledger with the frame, and a packaging change as the relabel.
Sheikh Srijon · Sep 25, 2026
Industries · 6 min read
Object detection on satellite imagery finds every house inside the pipeline buffer
A proposed corridor over a basemap, houses and barns proposed as boxes, a GIS analyst approving each one, and summer leaf cover as the season that hides roofs.
Sheikh Srijon · Sep 25, 2026
Industries · 7 min read
Crack detection with computer vision as a tag, a box or a width in millimetres
A tag says whether a footing is cracked, a box says where, and only a mask gives a width the engineer can act on. The low winter sun turns texture into cracks.
Sheikh Srijon · Sep 25, 2026
Industries · 6 min read
Oil spill detection from a drone, mapped by thickness so the booms go to the right place
Sheen, rainbow and true colour as masks on the drone frames, in the appearance codes responders already use, so the map says where the booms go.
Sheikh Srijon · Sep 25, 2026
Industries · 8 min read
Surface defect detection in manufacturing, from the camera to the grade
Scratches, pits and stains under a controlled light become boxes, the boxes become a grade by rules, and a shifted defect mix is a threshold to revisit.
Sheikh Srijon · Sep 25, 2026
Industries · 7 min read
Tablet defect inspection that says which defect, so the engineer knows which press setting to check
Every tablet boxed, each crop classed as capping, lamination, chip or crack, and the class says which press setting to check. A new defect is its first labels.
Sheikh Srijon · Sep 25, 2026
Industries · 7 min read
Computer vision for workplace safety, six things one camera can watch for
Person, PPE, vehicle, zone, posture and spill from one yard camera, the person-then-PPE design, why a stock model calls a cap a hard hat, alerts to the lead.
Sheikh Srijon · Sep 24, 2026
Industries · 7 min read
Corrosion detection with computer vision that measures rust as an area
A tag to triage the survey, a box to send the crew, a mask to say whether the patch grew since last quarter. Wet steel is where the model struggles.
Sheikh Srijon · Sep 24, 2026
Industries · 6 min read
How to detect solar panel failure with computer vision, snow, soiling and hot spots panel by panel
Each module as its own outline from a drone pass, snow and soiling on the visible frames, hot spots on the thermal ones, an alert per string to the O&M tech.
Sheikh Srijon · Sep 24, 2026
Industries · 7 min read
Training a model for a defect that appears three times a month
A hairline crack on a board keeps its pixels through tiling, every rare frame is kept and weighted, and the doubted frames are how the class grows.
Sheikh Srijon · Sep 24, 2026
Labeling · 6 min read
Automated image labeling, where a model proposes and a person makes it true
Type what to look for, let the model box every frame of the right-of-way, then check each label before it trains. Proposals are drafts until a person agrees.
Sheikh Srijon · Sep 23, 2026
Industries · 6 min read
Defect detection on the line, why the tolerance decides whether you draw a box or a mask
Two scratches on a stamped panel, one under the tolerance and one over, look the same inside a box. The geometry follows the disposition rule.
Sheikh Srijon · Sep 23, 2026
Industries · 6 min read
Package damage detection with a camera at the packing station
A camera at the packing station, five classes of damage, and an alert with the frame attached so the station lead pulls the box before it ships.
Sheikh Srijon · Sep 23, 2026
Operations · 6 min read
What SCADA is and where a camera fits in it
Sensors, PLCs, a network, a server and a historian, and a camera's detection entering the stack as one more tag beside pressure and flow.
Sheikh Srijon · Sep 23, 2026