Project by the AI for Food Allergies (AI4FA) team exploring the relationships between gut microbiome data and the development of food allergies.
🤝 Open to Collab
Saumya Saksena
dronefreak
P(doom) 10%
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 collection 2 days ago
BDD100K Classification Model Zoo updated a collection 2 days ago
BDD100K Scenario Classification Model Zoo updated a collection 2 days ago
BDD100K Classification Model ZooOrganizations
Image classifiers (YOLO and timm models) fine-tuned on BDD100K for driving-scenario classification: city street, highway, tunnel and more.
Image classifiers (YOLO and timm models) fine-tuned on BDD100K for weather classification: clear, cloudy, rainy, snowy, foggy.
A collection of YOLO object detection models fine-tuned on the KITTI benchmark for autonomous-driving street-scene detection.
A collection of YOLO and RF-DETR object detection models fine-tuned on the HRP4K benchmark for high-resolution road pothole detection.
A collection of YOLO object detection models fine-tuned on the BDD100K benchmark for autonomous-driving scene detection. RF-DETR variants to follow.
Unofficial attributed mirrors of the non-ViT Co-DINO COCO checkpoints (5-scale R50 / Swin-L, ICCV 2023), previously Drive-only. license: unknown.
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dronefreak/co-dino-5scale-r50-1x-coco
Object Detection • Updated • 44 -
dronefreak/co-dino-5scale-lsj-r50-1x-coco
Object Detection • Updated • 36 -
dronefreak/co-dino-5scale-lsj-r50-3x-coco
Object Detection • Updated • 27 -
dronefreak/co-dino-5scale-9encoder-lsj-r50-1x-coco
Object Detection • Updated • 39
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 for maritime search-and-rescue detection from UAVs.
A collection of YOLO and RF-DETR object detection models fine-tuned on the ExDark (Exclusively Dark) benchmark for detection in low-light 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.
Image classifiers fine-tuned on BDD100K attributes: weather, time of day and driving scenario, with the same splits and metrics across models.
Image classifiers (YOLO and timm models) fine-tuned on BDD100K for time-of-day classification: daytime, night, dawn or dusk.
YOLO/RF-DETR models fine-tuned on GC10-DET metallic surface defect detection, trained with DetectionBench.
A collection of YOLO and RF-DETR object detection models fine-tuned on the PKLot benchmark for parking-space occupancy detection.
A collection of YOLO and RF-DETR object detection models fine-tuned on the RDD2022 benchmark for road damage detection (cracks and potholes).
A collection of YOLO and RF-DETR object detection models fine-tuned on the UAVDT benchmark for vehicle detection in aerial drone footage.
Unofficial attributed mirrors of the non-ViT Co-Deformable-DETR COCO checkpoints (ICCV 2023), previously Google-Drive-only. license: unknown.
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dronefreak/co-deformable-detr-r50-1x-coco
Object Detection • Updated • 71 -
dronefreak/co-deformable-detr-swin-t-1x-coco
Object Detection • Updated • 38 -
dronefreak/co-deformable-detr-swin-t-3x-coco
Object Detection • Updated • 36 -
dronefreak/co-deformable-detr-swin-s-1x-coco
Object Detection • Updated • 35
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 Global Wheat Head Dataset (GWHD) for wheat head detection in field 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 • 15 • 3 -
dronefreak/aeroscapes-yolo26x-sem
Image Segmentation • Updated • 24 • 3 -
dronefreak/aeroscapes-cabinet-mobilenetv3-large
Image Segmentation • Updated • 5 • 2 -
dronefreak/aeroscapes-yolo26l-sem
Image Segmentation • Updated • 12 • 2
A collection of YOLO and RF-DETR object detection models fine-tuned on the LISA Traffic Lights dataset for traffic light detection in driving scenes.
A collection of YOLO and RF-DETR object detection models fine-tuned on the VisDrone benchmark for object detection in drone imagery.
Project by the AI for Food Allergies (AI4FA) team exploring the relationships between gut microbiome data and the development of food allergies.
Image classifiers fine-tuned on BDD100K attributes: weather, time of day and driving scenario, with the same splits and metrics across models.
Image classifiers (YOLO and timm models) fine-tuned on BDD100K for driving-scenario classification: city street, highway, tunnel and more.
Image classifiers (YOLO and timm models) fine-tuned on BDD100K for time-of-day classification: daytime, night, dawn or dusk.
Image classifiers (YOLO and timm models) fine-tuned on BDD100K for weather classification: clear, cloudy, rainy, snowy, foggy.
YOLO/RF-DETR models fine-tuned on GC10-DET metallic surface defect detection, trained with DetectionBench.
A collection of YOLO object detection models fine-tuned on the KITTI benchmark for autonomous-driving street-scene detection.
A collection of YOLO and RF-DETR object detection models fine-tuned on the PKLot benchmark for parking-space occupancy detection.
A collection of YOLO and RF-DETR object detection models fine-tuned on the HRP4K benchmark for high-resolution road pothole detection.
A collection of YOLO and RF-DETR object detection models fine-tuned on the RDD2022 benchmark for road damage detection (cracks and potholes).
A collection of YOLO object detection models fine-tuned on the BDD100K benchmark for autonomous-driving scene detection. RF-DETR variants to follow.
A collection of YOLO and RF-DETR object detection models fine-tuned on the UAVDT benchmark for vehicle detection in aerial drone footage.
Unofficial attributed mirrors of the non-ViT Co-DINO COCO checkpoints (5-scale R50 / Swin-L, ICCV 2023), previously Drive-only. license: unknown.
-
dronefreak/co-dino-5scale-r50-1x-coco
Object Detection • Updated • 44 -
dronefreak/co-dino-5scale-lsj-r50-1x-coco
Object Detection • Updated • 36 -
dronefreak/co-dino-5scale-lsj-r50-3x-coco
Object Detection • Updated • 27 -
dronefreak/co-dino-5scale-9encoder-lsj-r50-1x-coco
Object Detection • Updated • 39
Unofficial attributed mirrors of the non-ViT Co-Deformable-DETR COCO checkpoints (ICCV 2023), previously Google-Drive-only. license: unknown.
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dronefreak/co-deformable-detr-r50-1x-coco
Object Detection • Updated • 71 -
dronefreak/co-deformable-detr-swin-t-1x-coco
Object Detection • Updated • 38 -
dronefreak/co-deformable-detr-swin-t-3x-coco
Object Detection • Updated • 36 -
dronefreak/co-deformable-detr-swin-s-1x-coco
Object Detection • Updated • 35
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 for maritime search-and-rescue detection from UAVs.
A collection of YOLO and RF-DETR object detection models fine-tuned on the Global Wheat Head Dataset (GWHD) for wheat head detection in field images.
A collection of YOLO and RF-DETR object detection models fine-tuned on the ExDark (Exclusively Dark) benchmark for detection in low-light 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 • 15 • 3 -
dronefreak/aeroscapes-yolo26x-sem
Image Segmentation • Updated • 24 • 3 -
dronefreak/aeroscapes-cabinet-mobilenetv3-large
Image Segmentation • Updated • 5 • 2 -
dronefreak/aeroscapes-yolo26l-sem
Image Segmentation • Updated • 12 • 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 and RF-DETR object detection models fine-tuned on the LISA Traffic Lights dataset for traffic light detection in driving scenes.
A collection of CABiNet and YOLO26 models trained and evaluated under a common pipeline for aerial semantic segmentation.
A collection of YOLO and RF-DETR object detection models fine-tuned on the VisDrone benchmark for object detection in drone imagery.