Dataset Versions
Versions
2025-03-10 12:50pm
v32
· 2 days ago
SKENARIO 9
v31
· 4 days ago
SKENARIO 8
v30
· 5 days ago
SKENARIO 7
v29
· 6 days ago
SKENARIO 3
v28
· 8 days ago
SKENARIO 2
v27
· 14 days ago
SKENARIO 1
v26
· 21 days ago
2025-02-19 9:24am
v25
· 21 days ago
2025-02-19 9:24am
v24
· 21 days ago
2025-02-19 9:18am
v23
· 21 days ago
2024-12-23 7:57pm
v22
· 3 months ago
2024-12-23 6:28pm
v21
· 3 months ago
2024-12-22 9:52pm
v20
· 3 months ago
2024-12-22 8:07pm
v19
· 3 months ago
2024-12-21 9:26pm
v18
· 3 months ago
2024-12-21 8:55pm
v17
· 3 months ago
2024-12-21 2:03pm
v16
· 3 months ago
2024-12-21 1:00pm
v15
· 3 months ago
2024-12-21 10:24am
v14
· 3 months ago
2024-12-21 9:51am
v13
· 3 months ago
2024-12-20 11:23pm
v12
· 3 months ago
2024-12-20 10:37pm
v11
· 3 months ago
2024-12-20 10:07pm
v10
· 3 months ago
2024-12-20 9:36pm
v9
· 3 months ago
2024-12-20 9:07pm
v7
· 3 months ago
2024-12-20 8:38pm
v6
· 3 months ago
2024-11-26 8:28pm
v5
· 3 months ago
2024-11-24 9:48am
v4
· 4 months ago
2024-11-21 2:48pm
v3
· 4 months ago
2024-11-21 12:39pm
v2
· 4 months ago
2024-11-21 10:28am
v1
· 4 months ago
v20
2024-12-22 9:52pm
Generated on Dec 22, 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.
1269 Total Images
View All ImagesDataset Split
Train Set 87%
1103Images
Valid Set 8%
107Images
Test Set 5%
59Images
Preprocessing
Auto-Orient: Applied
Static Crop: 15-100% Horizontal Region, 0-70% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%