鹤源_dec Dataset
Versions
2024-09-19 3:48am
v38
· 17 hours ago
2024-09-14 4:41am
v37
· 6 days ago
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v36
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v35
· 6 days ago
2024-09-14 3:28am
v34
· 6 days ago
2024-09-14 3:25am
v33
· 6 days ago
2024-09-14 3:24am
v32
· 6 days ago
2024-09-07 1:43am
v31
· 13 days ago
2024-09-06 9:32am
v30
· 13 days ago
2024-09-06 9:30am
v29
· 13 days ago
2024-09-06 9:30am
v28
· 13 days ago
2024-09-06 9:01am
v27
· 14 days ago
2024-09-06 8:27am
v26
· 14 days ago
2024-09-06 8:06am
v25
· 14 days ago
2024-09-06 8:05am
v24
· 14 days ago
2024-09-06 8:05am
v23
· 14 days ago
2024-09-06 8:04am
v22
· 14 days ago
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v21
· 14 days ago
2024-09-06 8:00am
v20
· 14 days ago
2024-09-06 7:14am
v19
· 14 days ago
2024-09-06 6:57am
v18
· 14 days ago
2024-09-06 6:30am
v17
· 14 days ago
2024-09-06 5:34am
v16
· 14 days ago
2024-09-04 1:56pm
v15
· 15 days ago
2024-09-04 12:49pm
v14
· 15 days ago
2024-09-03 3:02am
v13
· 17 days ago
2024-09-03 2:37am
v12
· 17 days ago
2024-09-03 2:37am
v11
· 17 days ago
2024-09-03 2:25am
v10
· 17 days ago
2024-09-02 2:46am
v9
· 18 days ago
2024-08-30 3:59am
v8
· 21 days ago
2024-08-30 3:59am
v7
· 21 days ago
2024-08-28 1:51am
v6
· 23 days ago
2024-08-28 1:50am
v5
· 23 days ago
2024-08-28 1:50am
v4
· 23 days ago
2024-08-27 6:47am
v3
· 24 days ago
2024-08-19 1:28am
v2
· a month ago
2024-08-19 1:26am
v1
· a month ago
v38
2024-09-19 3:48am
Generated on Sep 19, 2024
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.
Other Formats
Choose another format.
386 Total Images
View All ImagesDataset Split
Train Set 96%
372Images
Valid Set 4%
14Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 960x960
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%