Dataset Versions
Versions
y11nadamw001
v29
· 7 days ago
y11nadam001
v28
· 13 days ago
y11nsgd001
v27
· 15 days ago
y10nano_sgd_001
v26
· 15 days ago
y8nanoadamw001epoch100
v25
· 25 days ago
y8nanoadamw001
v24
· a month ago
y8nanosgd0001
v23
· a month ago
y8nanoadam
v22
· a month ago
y8adam001epoch100
v21
· a month ago
y11adam001
v20
· a month ago
y11sgd100epoch001
v19
· a month ago
y11sgd001
v18
· a month ago
y8adamw001
v17
· a month ago
Y8ADAM100EPOCH001
v16
· a month ago
y8adam001
v15
· a month ago
y8sgd001epoch100
v14
· a month ago
sgd001y8
v13
· a month ago
test1
v12
· 2 months ago
2024-09-06 2:38pm
v11
· 2 months ago
yolo11test1randomlarge
v10
· 2 months ago
2024-09-05 3:38pm
v9
· 2 months ago
2024-09-05 3:21pm
v8
· 2 months ago
2024-09-03 3:11pm
v6
· 2 months ago
2024-09-02 3:39pm
v5
· 2 months ago
2024-09-01 5:53am
v4
· 2 months ago
2024-08-30 3:14pm
v3
· 2 months ago
2024-08-29 9:48pm
v1
· 2 months ago
v12
test1
Generated on Sep 7, 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.
Other Formats
Choose another format.
5997 Total Images
View All ImagesDataset Split
Train Set 70%
4199Images
Valid Set 20%
1201Images
Test Set 10%
597Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.
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