Tree detection test Image Dataset
Versions
2024-02-15 3:04pm
v13
Feb 15, 2024
2024-02-12 2:38pm
v12
Feb 12, 2024
2024-02-12 1:17pm
v11
Feb 12, 2024
2024-02-07 1:18pm
v10
Feb 7, 2024
2024-02-07 12:47pm
v9
Feb 7, 2024
2024-02-06 11:57am
v8
Feb 6, 2024
2024-02-04 4:04pm
v7
Feb 4, 2024
2024-01-15 12:01pm
v6
Jan 15, 2024
2024-01-14 3:18pm
v5
Jan 14, 2024
2024-01-11 1:57pm
v4
Jan 11, 2024
2024-01-11 1:52pm
v3
Jan 11, 2024
2023-12-31 4:59pm
v2
Dec 31, 2023
v13
2024-02-15 3:04pm
Generated on Feb 15, 2024
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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200 Total Images
View All Images
Dataset Split
Train Set 93%
186Images
Valid Set 5%
9Images
Test Set 3%
5Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 1.01% of pixels
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