Dataset Versions
Versions
2024-02-02 3:56pm
v31
· a year ago
2024-01-21 1:15pm
v30
· a year ago
2023-12-22 8:17pm
v29
· a year ago
2023-12-22 8:17pm
v28
· a year ago
2023-12-22 8:17pm
v27
· a year ago
2023-12-22 8:17pm
v26
· a year ago
2023-12-22 8:17pm
v25
· a year ago
2023-12-22 8:17pm
v24
· a year ago
2023-12-22 8:17pm
v23
· a year ago
2023-12-22 8:17pm
v22
· a year ago
2023-12-22 8:17pm
v21
· a year ago
2023-12-22 8:17pm
v20
· a year ago
2023-12-22 8:17pm
v19
· a year ago
2023-12-22 8:17pm
v18
· a year ago
2023-12-22 8:17pm
v17
· a year ago
2023-12-22 8:17pm
v16
· a year ago
2023-12-22 8:17pm
v15
· a year ago
2023-12-22 8:17pm
v14
· a year ago
2023-12-22 8:17pm
v13
· a year ago
2023-12-22 8:17pm
v12
· a year ago
2023-12-22 8:17pm
v11
· a year ago
2023-12-22 8:17pm
v10
· a year ago
2023-12-22 8:17pm
v9
· a year ago
2023-12-22 8:17pm
v8
· a year ago
2023-12-22 8:17pm
v7
· a year ago
2023-12-22 8:12pm
v6
· a year ago
2023-12-22 7:44pm
v5
· a year ago
2023-12-22 6:30pm
v4
· a year ago
2023-12-22 4:14pm
v3
· a year ago
2023-12-21 8:03pm
v2
· a year ago
2023-12-21 4:05pm
v1
· a year ago
v31
2024-02-02 3:56pm
Generated on Feb 2, 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
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138 Total Images
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Dataset Split
Train Set %
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Valid Set 100%
138Images
Test Set %
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Preprocessing
No preprocessing steps were applied.
Augmentations
No augmentations were applied.