cpl-firstSector Image Dataset
Versions
2024-05-03 1:56am
v16
· 2 months ago
2024-05-02 9:39pm
v15
· 2 months ago
2024-05-02 6:28am
v14
· 2 months ago
2024-05-02 5:58am
v13
· 2 months ago
2024-05-02 5:41am
v12
· 2 months ago
2024-05-02 4:54am
v11
· 2 months ago
2024-05-02 3:44am
v10
· 2 months ago
2024-05-01 9:02pm
v9
· 2 months ago
BEST
v8
· 2 months ago
2024-04-28 2:59pm
v7
· 2 months ago
2024-04-28 1:35am
v6
· 2 months ago
2024-04-28 1:30am
v5
· 2 months ago
2024-04-28 12:55am
v4
· 2 months ago
2024-04-28 12:12am
v3
· 2 months ago
2024-04-27 11:50pm
v2
· 2 months ago
2024-04-27 9:13pm
v1
· 2 months ago
v2
2024-04-27 11:50pm
Generated on Apr 27, 2024
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.
465 Total Images
View All Images
Dataset Split
Train Set 80%
372Images
Valid Set 7%
31Images
Test Set 13%
62Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +0%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 0.5% of pixels
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