Comptage_des_Arbres Image Dataset
Versions
2023-05-31 3:59pm
v11
May 31, 2023
2023-05-26 10:31pm
v10
May 26, 2023
2023-05-26 7:42pm
v9
May 26, 2023
2023-05-24 7:30pm
v8
May 24, 2023
2023-05-24 6:37pm
v7
May 24, 2023
2023-05-24 6:16pm
v6
May 24, 2023
2023-05-23 8:29pm
v5
May 23, 2023
2023-05-20 8:19pm
v3
May 20, 2023
2023-05-20 8:17pm
v2
May 20, 2023
2023-05-20 5:43pm
v1
May 20, 2023
v5
2023-05-23 8:29pm
Generated on May 23, 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.
Other Formats
Choose another format.
1207 Total Images
View All Images
Dataset Split
Train Set 83%
1000Images
Valid Set 17%
200Images
Test Set 1%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 2048x2048
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 44% Minimum Zoom, 44% Maximum Zoom
Saturation: Between -40% and +40%
Brightness: Between -31% and +31%
Exposure: Between -27% and +27%
Cutout: 16 boxes with 9% size each
Mosaic: Applied
Bounding Box: Crop: 24% Minimum Zoom, 41% Maximum Zoom
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