RUBBER TREE YOLO V8 Image Dataset
Versions
2024-01-04 12:15am
v17
Jan 3, 2024
2023-12-28 3:43pm
v16
Dec 28, 2023
2023-12-25 1:50pm
v15
Dec 25, 2023
2023-12-22 11:22am
v14
Dec 22, 2023
2023-12-21 12:15pm
v13
Dec 21, 2023
2023-12-19 2:55pm
v12
Dec 19, 2023
2023-12-17 7:41pm
v11
Dec 17, 2023
2023-12-11 11:35am
v10
Dec 11, 2023
2023-12-07 6:20pm
v9
Dec 7, 2023
2023-12-05 3:55pm
v8
Dec 5, 2023
2023-11-28 1:20pm
v6
Nov 28, 2023
2023-11-28 1:06pm
v5
Nov 28, 2023
2023-11-28 1:05pm
v4
Nov 28, 2023
2023-11-28 12:54pm
v3
Nov 28, 2023
2023-11-27 2:32pm
v2
Nov 27, 2023
2023-11-23 7:18pm
v1
Nov 23, 2023
v17
2024-01-04 12:15am
Generated on Jan 3, 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.
151 Total Images
View All ImagesDataset Split
Train Set 91%
138Images
Valid Set 9%
13Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -21° and +21°
Saturation: Between -17% and +17%
Brightness: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.25% of pixels
Mosaic: Applied
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