Motion_detection Dataset
Versions
2023-12-04 3:58pm
v14
· 9 months ago
2023-11-29 12:08pm
v13
· 9 months ago
2023-11-02 11:00am
v11
· 10 months ago
2023-10-28 11:25am
v8
· 10 months ago
2023-10-26 5:14pm
v7
· 10 months ago
2023-10-26 4:53pm
v6
· 10 months ago
2023-09-15 12:56am
v5
· a year ago
2023-09-15 12:48am
v4
· a year ago
2023-09-15 12:14am
v3
· a year ago
2023-09-15 12:12am
v2
· a year ago
2023-09-13 10:42am
v1
· a year ago
v14
2023-12-04 3:58pm
Generated on Dec 4, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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3444 Total Images
View All ImagesDataset Split
Train Set 84%
2882Images
Valid Set 13%
452Images
Test Set 3%
110Images
Preprocessing
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Bounding Box: Exposure: Between -17% and +17%
Bounding Box: Noise: Up to 4% of pixels