Dataset Versions
Versions
Dataset_final
v26
· 2 months ago
2024-09-23 7:48am
v25
· 2 months ago
2024-09-23 5:35am
v24
· 2 months ago
2024-09-22 8:31am
v23
· 2 months ago
2024-09-22 7:39am
v22
· 2 months ago
2024-09-22 7:37am
v21
· 2 months ago
2024-09-22 6:08am
v20
· 2 months ago
2024-09-21 7:51am
v18
· 2 months ago
2024-09-20 3:31pm
v16
· 2 months ago
2024-09-20 1:55pm
v15
· 2 months ago
2024-09-19 2:10pm
v14
· 2 months ago
2024-09-19 1:19pm
v13
· 2 months ago
2024-09-19 11:19am
v12
· 2 months ago
2024-09-19 9:53am
v11
· 2 months ago
2024-09-19 9:39am
v10
· 2 months ago
2024-09-19 7:58am
v9
· 2 months ago
2024-09-19 7:56am
v8
· 2 months ago
2024-09-19 7:30am
v7
· 2 months ago
2024-09-19 6:59am
v6
· 2 months ago
2024-09-18 4:28pm
v5
· 2 months ago
2024-09-18 3:37pm
v4
· 2 months ago
2024-09-18 3:16pm
v3
· 2 months ago
2024-09-18 1:57pm
v2
· 2 months ago
2024-09-18 1:27pm
v1
· 2 months ago
v24
2024-09-23 5:35am
Generated on Sep 23, 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.
1162 Total Images
View All ImagesDataset Split
Train Set 93%
1080Images
Valid Set 5%
55Images
Test Set 2%
27Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 1.96% of pixels