Stop_Motorcycles Dataset
Versions
2024-06-28 11:59pm
v14
· 7 days ago
2024-06-06 10:42am
v13
· a month ago
2024-06-05 5:27pm
v12
· a month ago
2024-06-03 12:17am
v11
· a month ago
2024-06-02 11:43am
v10
· a month ago
2024-06-02 11:40am
v9
· a month ago
2024-06-02 12:38am
v8
· a month ago
2024-06-02 12:25am
v7
· a month ago
2024-06-01 3:28am
v6
· a month ago
2024-06-01 3:17am
v5
· a month ago
2024-04-24 3:16pm
v4
· 2 months ago
2024-04-24 3:02pm
v3
· 2 months ago
2024-04-24 12:10pm
v2
· 2 months ago
2024-04-23 10:55am
v1
· 2 months ago
v8
2024-06-02 12:38am
Generated on Jun 1, 2024
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TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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257 Total Images
View All Images
Dataset Split
Train Set 81%
207Images
Valid Set 10%
25Images
Test Set 10%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Noise: Up to 10% of pixels
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