Hazmat-13_detection Image Dataset
Versions
2024-06-26 2:11pm
v13
· 3 days ago
2024-06-24 5:24pm
v12
· 5 days ago
2024-06-11 12:49pm
v11
· 18 days ago
2024-06-11 12:44pm
v10
· 18 days ago
2024-04-01 5:26pm
v9
· 3 months ago
2024-02-05 4:35pm
v8
· 5 months ago
Peter Test 1
v7
· 5 months ago
2024-01-14 4:24pm
v4
· 5 months ago
2023-11-23 5:56pm
v3
· 7 months ago
2023-11-20 1:21pm
v2
· 7 months ago
2023-11-18 6:32pm
v1
· 7 months ago
v2
2023-11-20 1:21pm
Generated on Nov 20, 2023
Popular Download Formats
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.
544 Total Images
View All Images
Dataset Split
Train Set %
0Images
Valid Set 61%
330Images
Test Set 39%
214Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -33° and +33°
Saturation: Between -50% and +50%
Noise: Up to 12% of pixels
Cutout: 8 boxes with 16% size each
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