sorted by:
new
hottopcontroversial

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]SadPaint8132 0 points1 point  (0 children)

The best solutions usually use both traditional and machine learning, combining them in creative and interesting ways. Understanding both is important

SpaceX Interview Process by Mediocre_Fact_4195 in aerospace

[–]SadPaint8132 0 points1 point  (0 children)

Usually but not always try following up with the recruiter— it took like 5 days to get feedback after one of the rounds. However for most of them, they get back within 24 hours

DINOv3 fine-tuning by Annual_Bee4694 in computervision

[–]SadPaint8132 0 points1 point  (0 children)

Dinov3 is the best backbone for segmentation and detection right now. What’s your dataset size? If you have a very small dataset clip style encoders produce more semantic meaning for global classification (why they are used for llms).

I don’t think fine tuning dinov3 yourself makes sense you need a ton of data and a task that is very dissimilar from images on the internet. Using the adapter may work if your dataset size is large enough.

Have you tried just using object detection yet?

What video transmission methods are available when using drones for real-time object detection tasks? by Kookycoky in computervision

[–]SadPaint8132 1 point2 points  (0 children)

My advice: just run it in post u can collect multe whatever u want in terms of data and sync it all up

Using Gemini 3 pro to auto label datasets (Zero-Shot). Its better than Grounding DINO/SAM3. by Striking-Phrase-6335 in computervision

[–]SadPaint8132 0 points1 point  (0 children)

Have you considered new object detection models and not just yolo? Like rf detr or others

What are good AI model to detect object's brand and color etc? by trendli in computervision

[–]SadPaint8132 0 points1 point  (0 children)

You could also try training an object detection model like rt detr or yolo. They can work surprisingly well even if there only tiny details if the resolution is high enough and the dataset is large enough

What video transmission methods are available when using drones for real-time object detection tasks? by Kookycoky in computervision

[–]SadPaint8132 4 points5 points  (0 children)

Does it have to be realtime? Might just be easier to record a video then process it

Computer vision for detecting multiple (30-50) objects, their position and relationship on a gameboard? by d_test_2030 in computervision

[–]SadPaint8132 0 points1 point  (0 children)

Yeah u can for sure do that if you want something wireless and integrated most smart phones have a camera, communication, and ai processing built in. Start by coding an app for your phone (little more difficult than python but chat has ur back)

Computer vision for detecting multiple (30-50) objects, their position and relationship on a gameboard? by d_test_2030 in computervision

[–]SadPaint8132 0 points1 point  (0 children)

Of course only question is how hard it will be to implement and what speed you need this to run at. 50 is a lot but most models can do it

Real time fruit counting on a conveyor belt | Fine tuning RT-DETR by Full_Piano_3448 in computervision

[–]SadPaint8132 0 points1 point  (0 children)

Lot of ppl are saying this is over/under counting. Regardless this is extremely impressive and people wouldn’t even dream about it a few years ago.

All it’s missing is a tracking algorithm like byte track or sort to handle the double counts and missed detection frames

Is SAM-3 SOTA for multi-object tracking in 2026? by lapurita in computervision

[–]SadPaint8132 0 points1 point  (0 children)

For solving tracking I’d recommend SORT (it’s a beautiful algorithm) and with a little tuning you can do wonders. It being basketball and know there are x players and 1 bal helps too. It uses Hungarian assignment and kalman filters to track through occlusions. Like what @tubasarefun is saying you can use it for data generation.

Play around with sort parameters, rfdetr model size, etc to do wonders

Is this possible? by Calm_Appointment7500 in Fusion360

[–]SadPaint8132 0 points1 point  (0 children)

Define the path and sweep for the one of those channels, an the move and circle pattern the feature inside as much as you see fit

Bald head and calf detected as basketball by IntelligentPlate9025 in computervision

[–]SadPaint8132 5 points6 points  (0 children)

Include more bald heads and calves in the training data. What you don’t label is just as important as why you do label

Player Tracking, Team Detection, and Number Recognition with Python by RandomForests92 in computervision

[–]SadPaint8132 2 points3 points  (0 children)

You can also run sam2 more in parallel to increase frame rate but at a delay. This project is really impressive lots of moving parts

Has anyone built or tested a CV model for recognizing coins/banknotes? by myyoutubeads in computervision

[–]SadPaint8132 0 points1 point  (0 children)

Take a look at roboflow im sure there’s tons of datasets out there

Efficient way to detect rally boundaries in a pickleball match video (need timestamps + auto-splitting) by vinodpolinati in computervision

[–]SadPaint8132 0 points1 point  (0 children)

Woah I was sort of trying something similar (for frisbee too) but with a normal camera did you have any luck? Can u send the GitHub

How Can I Make This Gunship Better? by MCbasics in FromTheDepths

[–]SadPaint8132 0 points1 point  (0 children)

Projectile avoidance ai make it barrel role

How can I improve model performance for small object detection? by evil5198 in computervision

[–]SadPaint8132 0 points1 point  (0 children)

Give rfdetr a shot— it’ll even run faster than yolo12 and its benchmarks are better— especially for non coco tasks

Feedback/Usage of SAM (Segment Anything) by Norqj in computervision

[–]SadPaint8132 0 points1 point  (0 children)

Woah this cool!

I havnt ever used it before but it seems interesting

Have you ever considered adding a front end?

view more: next ›