We do care the rivers Image Dataset
Versions
2023-12-11 8:11pm
v19
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2023-12-11 9:38am
v18
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3326
v17
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2023-12-10 9:13pm
v16
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1818
v15
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768
v14
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2023-12-09 7:25am
v13
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2023-12-09 12:57am
v12
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2023-12-08 10:40am
v11
· 7 months ago
2023-12-08 6:30am
v10
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2023-12-07 7:59pm
v9
· 7 months ago
2023-12-05 6:45pm
v7
· 7 months ago
Test-2-199 images-Bear-Justin
v6
· 7 months ago
-iso-Test-2-199 images-Bear-Justin
v4
· 7 months ago
Model-version1
v2
· 7 months ago
Test 1 -97 images-
v1
· 7 months ago
v15
1818
Generated on Dec 10, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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1968 Total Images
View All Images
Dataset Split
Train Set 92%
1818Images
Valid Set 5%
100Images
Test Set 3%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
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