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SkalskiP

@skalskip92 • 45,742 subscribers

Open-source Lead @roboflow. VLMs. GPU poor. Dog person. Coffee addict. Dyslexic. | GH: https://t.co/dEmzMDGq5H | HF: https://t.co/4Lx1Yw34W7

Shorts

there's no catch; SAM3 is open source and really good one of the things it does really well is object tracking, even in crazy complex scenes like basketball probably my favorite computer vision model ever

there's no catch; SAM3 is open source and really good one of the things it does really well is object tracking, even in crazy complex scenes like basketball probably my favorite computer vision model ever

1,464,300 görüntüleme

SAM 3D Body is a CVPR 2026 award candidate paper from AI at Meta model recovers a full 3D human body mesh from a single RGB image you can run it automatically, or guide the reconstruction with masks and 2D keypoints thx to Niels Rogge for awesome demo idea

SAM 3D Body is a CVPR 2026 award candidate paper from AI at Meta model recovers a full 3D human body mesh from a single RGB image you can run it automatically, or guide the reconstruction with masks and 2D keypoints thx to Niels Rogge for awesome demo idea

54,217 görüntüleme

RF-DETR is now available in Hugging Face transformers state of the art in both detection and segmentation, outperforming YOLO architectures - checkpoints: - demo: - docs:

RF-DETR is now available in Hugging Face transformers state of the art in both detection and segmentation, outperforming YOLO architectures - checkpoints: - demo: - docs:

77,978 görüntüleme

I can finally map NBA player's position from the camera perspective onto the court map it's still a bit shaky... I'll smooth it out later it's time to detect shooting motions and mark the shot location! some of the code has already been migrated to:

I can finally map NBA player's position from the camera perspective onto the court map it's still a bit shaky... I'll smooth it out later it's time to detect shooting motions and mark the shot location! some of the code has already been migrated to:

1,571,478 görüntüleme

SAM3 video tracking is so good yesterday: collect data, train custom object detector, use tracker to estimate object motion - days today: track anything with text prompt - seconds

SAM3 video tracking is so good yesterday: collect data, train custom object detector, use tracker to estimate object motion - days today: track anything with text prompt - seconds

707,634 görüntüleme

I used to hate working on projects like this... crazy how the word has changed over the past year; labeling is dead!

I used to hate working on projects like this... crazy how the word has changed over the past year; labeling is dead!

810,731 görüntüleme

this might be the coolest-looking football AI visualization I ever created

this might be the coolest-looking football AI visualization I ever created

591,431 görüntüleme

pip install trackers trackers v2.1.0 is out; this release adds support for ByteTrack, a fast tracking by detection algorithm focused on stable identities under occlusion. link:

pip install trackers trackers v2.1.0 is out; this release adds support for ByteTrack, a fast tracking by detection algorithm focused on stable identities under occlusion. link:

121,188 görüntüleme

supervision - a computer vision library I created - just crossed 15,000 stars on GitHub! BBBRRRRRR! link:

supervision - a computer vision library I created - just crossed 15,000 stars on GitHub! BBBRRRRRR! link:

504,644 görüntüleme

I'm starting to get more and more serious with YOLO-World; trying to solve real-life problems. I wanted to see if YOLO-World could recognize that the holes had been filled out. It was pretty tricky, but I learned a little about prompting. ↓ read more

I'm starting to get more and more serious with YOLO-World; trying to solve real-life problems. I wanted to see if YOLO-World could recognize that the holes had been filled out. It was pretty tricky, but I learned a little about prompting. ↓ read more

445,910 görüntüleme

"can you do the same thing for football?" - I got this question 100x today yep, I actually did this last year - player detection and tracking - team clustering - perspective transformation end-to-end YT tutorial:

"can you do the same thing for football?" - I got this question 100x today yep, I actually did this last year - player detection and tracking - team clustering - perspective transformation end-to-end YT tutorial:

197,880 görüntüleme

I'm taking my football/soccer project to the next level today, I worked on detecting players, referees, and the ball and mapping their positions from video frames to positions on the field. ↓ read more

I'm taking my football/soccer project to the next level today, I worked on detecting players, referees, and the ball and mapping their positions from video frames to positions on the field. ↓ read more

336,768 görüntüleme

this guy took my football AI project and used it for automated advance match analytics; focusing on through passes first

this guy took my football AI project and used it for automated advance match analytics; focusing on through passes first

173,763 görüntüleme

almost fully functional version of my football AI project today, I added player tracking using ByteTrack and projection of players onto the map code coming soon:

almost fully functional version of my football AI project today, I added player tracking using ByteTrack and projection of players onto the map code coming soon:

241,241 görüntüleme

upcoming basketball AI tutorial will be packed with strong visuals; can't wait to ship it

upcoming basketball AI tutorial will be packed with strong visuals; can't wait to ship it

72,115 görüntüleme

supervision-0.26.0 is out we finally released support for ViTPose and ViTPose++ pose estimation models from Hugging Face transformers link:

supervision-0.26.0 is out we finally released support for ViTPose and ViTPose++ pose estimation models from Hugging Face transformers link:

112,872 görüntüleme

it’s alive. finally trained my first SO-ARM101 policy. basic autonomous pick and place works. more complex stuff soon.

it’s alive. finally trained my first SO-ARM101 policy. basic autonomous pick and place works. more complex stuff soon.

49,679 görüntüleme

supervision-0.24.0 is out! you can finally count per-class line crossings. many of you have been asking for this, now we have it! it took me barely 30 minutes to make this demo using supervision! link:

supervision-0.24.0 is out! you can finally count per-class line crossings. many of you have been asking for this, now we have it! it took me barely 30 minutes to make this demo using supervision! link:

165,745 görüntüleme

smart parking demo - RF-DETR - license plate detection - OC-SORT - multi-object tracking - GLM-OCR - reading license plates on Monday I showed you trackers, yesterday GLM-OCR, today I'm putting everything together

smart parking demo - RF-DETR - license plate detection - OC-SORT - multi-object tracking - GLM-OCR - reading license plates on Monday I showed you trackers, yesterday GLM-OCR, today I'm putting everything together

26,206 görüntüleme

supervision-0.22.0 is coming out today one of the things we release is Mediapipe integration along with default visualizers for face and body pose keypoints link:

supervision-0.22.0 is coming out today one of the things we release is Mediapipe integration along with default visualizers for face and body pose keypoints link:

147,978 görüntüleme

Videos

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football AI code is finally open-source - player detection and tracking - team clustering - camera calibration I still need to work on README; don't judge me on that code:

football AI code is finally open-source - player detection and tracking - team clustering - camera calibration I still need to work on README; don't judge me on that code:

2,037,817 görüntüleme • 1 yıl önce

manual data labeling is over

manual data labeling is over

295,129 görüntüleme • 6 ay önce

supervision, the open-source library I created 2 years ago, is crossing 30,000 stars on GitHub! thank you to everyone who helped me build this project! it took us 4,000+ commits, 1,000+ PRs and 100+ contributors to do it. link:

supervision, the open-source library I created 2 years ago, is crossing 30,000 stars on GitHub! thank you to everyone who helped me build this project! it took us 4,000+ commits, 1,000+ PRs and 100+ contributors to do it. link:

329,498 görüntüleme • 10 ay önce

been a minute since I worked with soccer, but trackers-2.3.0 dropped and I had to try OC-SORT it's built for scenes where objects constantly occlude each other, exactly what happens on a soccer pitch. ran it on SoccerNet. looks great. link:

been a minute since I worked with soccer, but trackers-2.3.0 dropped and I had to try OC-SORT it's built for scenes where objects constantly occlude each other, exactly what happens on a soccer pitch. ran it on SoccerNet. looks great. link:

SkalskiP @ CVPR2026

72,732 görüntüleme • 2 ay önce

I'm experimenting with using SAM2 for automatic tracking of NBA players; it's mind-blowing how well this model performs out of the box. we might even add a SAM2-based tracker to the trackers package at some point. trackers:

I'm experimenting with using SAM2 for automatic tracking of NBA players; it's mind-blowing how well this model performs out of the box. we might even add a SAM2-based tracker to the trackers package at some point. trackers:

292,928 görüntüleme • 1 yıl önce

supervision, the open-source library I created a year ago, has crossed 20,000 stars on GitHub this weekend! thank you to everyone who helped me build this project! it took us 3,500+ commits, 850+ PRs and 80+ contributors to do it. repository:

supervision, the open-source library I created a year ago, has crossed 20,000 stars on GitHub this weekend! thank you to everyone who helped me build this project! it took us 3,500+ commits, 850+ PRs and 80+ contributors to do it. repository:

427,186 görüntüleme • 1 yıl önce

data labeling is dead. long live distillation. from data to object detection endpoint in 90 seconds. link:

data labeling is dead. long live distillation. from data to object detection endpoint in 90 seconds. link:

135,852 görüntüleme • 5 ay önce

true AGI check your split the G score haha with Roboflow

true AGI check your split the G score haha with Roboflow

303,563 görüntüleme • 1 yıl önce

check out my mini terminator spent some time over the last few days teaching my reachy mini to follow a face; there is still room for improvement, especially in the tracking algo

check out my mini terminator spent some time over the last few days teaching my reachy mini to follow a face; there is still room for improvement, especially in the tracking algo

100,377 görüntüleme • 4 ay önce

3 years since I joined roboflow - 68k stars on github - 60 videos and streams on youtube - 2.5M views in total - 40 technical blogposts ↓ coolest stuff I made

3 years since I joined roboflow - 68k stars on github - 60 videos and streams on youtube - 2.5M views in total - 40 technical blogposts ↓ coolest stuff I made

127,834 görüntüleme • 7 ay önce

here is the final version of my vehicle speed estimation demo read the thread below to learn how I built it. I will cover: - detection - tracking - perspective transformation - speed calculation - some bonus ideas ↓

here is the final version of my vehicle speed estimation demo read the thread below to learn how I built it. I will cover: - detection - tracking - perspective transformation - speed calculation - some bonus ideas ↓

399,855 görüntüleme • 2 yıl önce

- if SAM3 is so good, do we still need other models? - yes. SAM3 is too large for low compute edge devices and too slow for real-time use. we still need light and fast models for edge workloads. distill SAM3 into smaller model and deploy it in seconds with Roboflow rapid

- if SAM3 is so good, do we still need other models? - yes. SAM3 is too large for low compute edge devices and too slow for real-time use. we still need light and fast models for edge workloads. distill SAM3 into smaller model and deploy it in seconds with Roboflow rapid

93,025 görüntüleme • 6 ay önce

this guy took my Football AI project and used it to build a 3D representation of the game; CRAAAAAZY!

this guy took my Football AI project and used it to build a 3D representation of the game; CRAAAAAZY!

159,490 görüntüleme • 1 yıl önce

CVPR 2025 papers pt. 1 - Gaze-LLE Gaze-LLE simplifies gaze target estimation by building on top of a frozen DINOv2 visual foundation model; SOTA performance; open source code and model more papers: ↓ more

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CVPR 2025 papers pt. 1 - Gaze-LLE Gaze-LLE simplifies gaze target estimation by building on top of a frozen DINOv2 visual foundation model; SOTA performance; open source code and model more papers: ↓ more

96,057 görüntüleme • 11 ay önce

this is how you annotate data in 2025 (I've been told this egg demo may trigger some US people)

this is how you annotate data in 2025 (I've been told this egg demo may trigger some US people)

107,465 görüntüleme • 1 yıl önce

lots of you asked if soccer AI can detect the ball; I just added this functionality code:

lots of you asked if soccer AI can detect the ball; I just added this functionality code:

152,384 görüntüleme • 1 yıl önce

Automated NBA match commentary using OpenAI vision and TTS (with code!) Everyone is bragging about projects that generate automatic video commentary, but no one is showing the code. I did it while waiting for the plane. code:

Automated NBA match commentary using OpenAI vision and TTS (with code!) Everyone is bragging about projects that generate automatic video commentary, but no one is showing the code. I did it while waiting for the plane. code:

188,555 görüntüleme • 2 yıl önce

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware check out this SAM2 vs SAMURAI comparison! - paper: - code: - license: Apache-2.0

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware check out this SAM2 vs SAMURAI comparison! - paper: - code: - license: Apache-2.0

124,331 görüntüleme • 1 yıl önce

over 200 hours of work compressed into a 90-minute video the football AI tutorial is finally out! link to video: ↓ key takeaways

over 200 hours of work compressed into a 90-minute video the football AI tutorial is finally out! link to video: ↓ key takeaways

138,137 görüntüleme • 1 yıl önce

analyzing customer behavior in retail space great project done by Abdelmouhaimen Sarhane - taking my supervision tutorials to the next level supervision:

analyzing customer behavior in retail space great project done by Abdelmouhaimen Sarhane - taking my supervision tutorials to the next level supervision:

104,912 görüntüleme • 1 yıl önce