cone Image Dataset
Versions
2023-12-03 2:38pm
v11
· 7 months ago
2023-12-03 2:31pm
v10
· 7 months ago
2023-12-02 10:23pm
v9
· 7 months ago
2023-12-02 10:17pm
v8
· 7 months ago
2023-11-22 10:42am
v7
· 7 months ago
2023-11-18 3:51am
v6
· 7 months ago
2023-11-18 3:50am
v5
· 7 months ago
2023-11-18 1:49am
v4
· 7 months ago
2023-11-18 1:45am
v3
· 7 months ago
2023-11-15 5:02pm
v2
· 8 months ago
2023-11-15 4:59pm
v1
· 8 months ago
v1
2023-11-15 4:59pm
Generated on Nov 15, 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.
214 Total Images
View All Images
Dataset Split
Train Set 88%
189Images
Valid Set 8%
18Images
Test Set 3%
7Images
Preprocessing
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Hue: Between -60° and +60°
Saturation: Between -56% and +56%
Brightness: Between -24% and +24%
Exposure: Between -32% and +32%
Blur: Up to 1.75px
Noise: Up to 7% of pixels
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