template detection Dataset
Versions
2023-01-14 10:34pm
v27
· 2 years ago
2022-09-25 12:36pm
v26
· 2 years ago
2022-09-25 8:07am
v25
· 2 years ago
2022-09-24 7:41pm
v24
· 2 years ago
2022-09-24 7:05pm
v23
· 2 years ago
2022-09-24 6:49pm
v22
· 2 years ago
2022-09-24 4:39pm
v21
· 2 years ago
2022-09-24 3:54pm
v20
· 2 years ago
2022-09-24 3:52pm
v19
· 2 years ago
2022-09-24 3:47pm
v18
· 2 years ago
2022-09-24 3:44pm
v17
· 2 years ago
2022-09-24 11:03am
v16
· 2 years ago
2022-09-23 12:28pm
v15
· 2 years ago
2022-09-23 10:16am
v14
· 2 years ago
2022-09-23 8:58am
v13
· 2 years ago
2022-09-23 8:10am
v12
· 2 years ago
2022-09-23 7:08am
v11
· 2 years ago
2022-09-23 1:13am
v10
· 2 years ago
2022-09-21 8:20pm
v9
· 2 years ago
2022-09-21 7:27pm
v8
· 2 years ago
2022-09-21 7:06pm
v7
· 2 years ago
2022-09-21 3:59pm
v6
· 2 years ago
2022-09-21 8:32am
v5
· 2 years ago
2022-09-21 8:17am
v4
· 2 years ago
2022-09-21 1:35am
v3
· 2 years ago
2022-09-20 9:45pm
v2
· 2 years ago
2022-09-20 8:23pm
v1
· 2 years ago
v27
2023-01-14 10:34pm
Generated on Jan 14, 2023
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.
2864 Total Images
View All Images
Dataset Split
Train Set 92%
2640Images
Valid Set 4%
112Images
Test Set 4%
112Images
Preprocessing
Resize: Stretch to 1000x750
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Mosaic: Applied