NoNutsML Image Dataset
Versions
2023-05-04 4:22pm
v9
May 4, 2023
2023-05-04 4:20pm
v8
May 4, 2023
2023-05-01 11:28pm
v7
May 2, 2023
2023-04-25 2:16am
v6
Apr 25, 2023
2023-04-24 2:59pm
v5
Apr 24, 2023
2023-04-24 11:23am
v4
Apr 24, 2023
2023-04-23 11:45pm
v3
Apr 24, 2023
2023-04-23 9:01pm
v2
Apr 24, 2023
2023-04-23 8:49pm
v1
Apr 24, 2023
v9
2023-05-04 4:22pm
Generated on May 4, 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.
71 Total Images
View All Images
Dataset Split
Train Set 80%
57Images
Valid Set 4%
3Images
Test Set 15%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 47% of images
Hue: Between -25° and +25°
Saturation: Between -51% and +51%
Brightness: Between -30% and +30%
Exposure: Between -21% and +21%
Blur: Up to 2.5px
Noise: Up to 10% of pixels
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