Dataset Versions
Versions
2024-05-26 7:25pm
v29
· 7 months ago
2024-05-12 3:29pm
v25
· 8 months ago
2024-05-04 10:55am
v24
· 8 months ago
2024-05-02 9:01pm
v23
· 8 months ago
2024-05-02 8:20pm
v22
· 8 months ago
2024-05-02 8:11pm
v21
· 8 months ago
2024-05-02 7:27pm
v20
· 8 months ago
2024-05-02 7:06pm
v19
· 8 months ago
2024-05-01 8:18pm
v18
· 8 months ago
2024-05-01 8:11pm
v17
· 8 months ago
2024-05-01 5:29pm
v16
· 8 months ago
2024-05-01 3:57pm
v15
· 8 months ago
2024-04-30 2:33pm
v14
· 8 months ago
2024-04-29 4:14pm
v12
· 8 months ago
2024-04-26 4:30pm
v11
· 8 months ago
2024-04-26 4:20pm
v10
· 8 months ago
2024-04-26 2:58pm
v9
· 8 months ago
2024-04-26 2:29pm
v8
· 8 months ago
2024-04-26 2:14pm
v7
· 8 months ago
2024-04-17 1:57pm
v6
· 9 months ago
2024-04-14 6:37pm
v5
· 9 months ago
2024-04-13 9:53pm
v4
· 9 months ago
2024-04-10 7:17pm
v3
· 9 months ago
Versao-02
v2
· 9 months ago
Versao-01
v1
· 9 months ago
v29
2024-05-26 7:25pm
Generated on May 26, 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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693 Total Images
View All ImagesDataset Split
Train Set 87%
606Images
Valid Set 8%
57Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between 0% and +25%
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