color-classification
colres-colorectal-cancer-classification-for-precision-medicine-modelmtg-coloridentity-multilabel-classificationEgde-color-classificationcolor_relay_observer_comm_finetune_color_classification_100color_relay_observer_comm_finetune_color_classificationcolor_relay_classification_observerColorectal-Cancer-Tissue-Classification
G1_Dex1_Conveyor_Color_Classificationcolor-classification-opensourcevehicle-color-classification-datasetvehicle color classification
vehiocle support: car , motorcycle
11 color classes:
black
blue
brown
green
grey
orange
pink
purple
red
white
yellow
you can train a resnet model on this , then to extend dataset , you can create pseudo label by inference and saving new samples (which have high confedence score produced by resnet)
to finetune on resnet , i recommend this https://github.com/WandererGuy/Finetune-Resnet-18
color_relay_classification_observerThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 1500,
"total_frames": 161500,
"total_tasks": 2,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:1500"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/DorianAtSchool/color_relay_classification_observer.color_classification_observerThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 1000,
"total_frames": 20000,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:1000"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/DorianAtSchool/color_classification_observer.