🤝 Open to Collab
Saumya Saksena
dronefreak
AI & ML interests
Computer Vision, Deep Learning, Image Restoration, Image De-noising, LLMs, RAG, Image Classification, Image Segmentation, EEG Classification, Signal Processing, PPG, BCI
Recent Activity
updated a model 2 days ago
dronefreak/clearview-derain-restormer-small published a model 2 days ago
dronefreak/clearview-derain-restormer-small updated a collection 2 days ago
End-to-End Adverse Weather RemovalOrganizations
A collection of YOLO object detection models fine-tuned on the Brackish benchmark for underwater marine animal detection. RF-DETR variants to follow.
A collection of YOLO and RF-DETR object detection models fine-tuned on the GWHD benchmark for wheat head detection in agricultural images.
A collection of CABiNet and YOLO26 models trained and evaluated under a common pipeline for aerial semantic segmentation on Aeroscapes dataset.
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dronefreak/aeroscapes-yolo26m-sem
Image Segmentation • Updated • 34 • 3 -
dronefreak/aeroscapes-yolo26x-sem
Image Segmentation • Updated • 30 • 3 -
dronefreak/aeroscapes-cabinet-mobilenetv3-large
Image Segmentation • Updated • 14 • 2 -
dronefreak/aeroscapes-yolo26l-sem
Image Segmentation • Updated • 37 • 2
A collection of YOLO/RF-DETR models trained and evaluated under a common pipeline for AD traffic light detection on LISA Traffic Lights dataset.
A collection of YOLO-based object detection models fine-tuned on the VisDrone benchmark for aerial imagery.
A small collection of end-to-end adverse weather effects removal AI models from single images
A collection of YOLO and RF-DETR object detection models fine-tuned on the SeaDronesSee benchmark Maritime UAV Object Detection Dataset.
A collection of YOLO and RF-DETR object detection models fine-tuned on the Extra Dark benchmark for object detection in night time images.
A collection of CABiNet and YOLO26 models trained and evaluated under a common pipeline for aerial semantic segmentation on VDD 2025 dataset.
A collection of CABiNet and YOLO26 models trained and evaluated under a common pipeline for aerial semantic segmentation.
A small collection of end-to-end adverse weather effects removal AI models from single images
A collection of YOLO object detection models fine-tuned on the Brackish benchmark for underwater marine animal detection. RF-DETR variants to follow.
A collection of YOLO and RF-DETR object detection models fine-tuned on the SeaDronesSee benchmark Maritime UAV Object Detection Dataset.
A collection of YOLO and RF-DETR object detection models fine-tuned on the GWHD benchmark for wheat head detection in agricultural images.
A collection of YOLO and RF-DETR object detection models fine-tuned on the Extra Dark benchmark for object detection in night time images.
A collection of CABiNet and YOLO26 models trained and evaluated under a common pipeline for aerial semantic segmentation on Aeroscapes dataset.
-
dronefreak/aeroscapes-yolo26m-sem
Image Segmentation • Updated • 34 • 3 -
dronefreak/aeroscapes-yolo26x-sem
Image Segmentation • Updated • 30 • 3 -
dronefreak/aeroscapes-cabinet-mobilenetv3-large
Image Segmentation • Updated • 14 • 2 -
dronefreak/aeroscapes-yolo26l-sem
Image Segmentation • Updated • 37 • 2
A collection of CABiNet and YOLO26 models trained and evaluated under a common pipeline for aerial semantic segmentation on VDD 2025 dataset.
A collection of YOLO/RF-DETR models trained and evaluated under a common pipeline for AD traffic light detection on LISA Traffic Lights dataset.
A collection of CABiNet and YOLO26 models trained and evaluated under a common pipeline for aerial semantic segmentation.
A collection of YOLO-based object detection models fine-tuned on the VisDrone benchmark for aerial imagery.