Dataset Versions
Versions
fold5 model 3
v31
· 9 months ago
fold4 mofel 3
v30
· 9 months ago
fold3 model 3
v29
· 9 months ago
fold2 model 3
v28
· 9 months ago
fold1 model 3
v27
· 9 months ago
2024-01-11 3:09pm
v26
· 10 months ago
2024-01-10 5:02am
v25
· 10 months ago
fold 5 val
v23
· 10 months ago
fold 5
v22
· 10 months ago
fold 4 val
v21
· 10 months ago
fold 4
v20
· 10 months ago
fold 3 val
v19
· 10 months ago
fold 3
v18
· 10 months ago
fold 2 val
v17
· 10 months ago
fold 2
v16
· 10 months ago
fold 1 val
v15
· 10 months ago
fold 1
v14
· 10 months ago
2023-12-21 10:23am
v12
· a year ago
2023-12-21 10:13am
v10
· a year ago
2023-12-11 10:10pm
v9
· a year ago
2023-12-10 10:36pm
v8
· a year ago
2023-12-06 9:02pm
v5
· a year ago
v29
fold3 model 3
Generated on Jan 25, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
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400 Total Images
View All Images
Dataset Split
Train Set 100%
400Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.3px
Noise: Up to 1.93% of pixels